Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrasi ilmu sejarah dan ilmu geografi dalam meningkatkan kemampuan literasi sejarah mahasiswa pendidikan IPS melalui eksplorasi sejarah lokal Candi Badut

In the era of globalization critical literacy skills possessed by students. Ironically literacy in Indonesia is very low. Learning history is integrated with geography expected to improve the literacy history skills of students departement social studies. Traffic literacy can make students understand the history of local history in the surrounding environment and have a critical attitude towards historical environment. This study is a qualitative research. The study was conducted at UIN Maulana Malik Ibrahim Malang. The subjects were students of the fifth semester majoring departement social studies class A. Data collection research using observation sheets, interviews, documentation and assessment indexes based on historical literacy. Analysis of the data using the model of Miles and Huberman. Based on observations conducted by researchers, the first and second meetings of learning to do without integrated with geography. The result is the literacy skills at an early stage of history to understand the events that indexes and narrative of the past. The third and fourth meetings learning is done by integrating the science of history with geography. The result is the development of historical literacy students be perfect cover 12 index are to understand the events, narratives, research skills, language history, the concept of history, an understanding of ICT, connect, debate and disagreement, the representation of expression, moral judgment, the application of scientific and historical explanation. The conclusion of this study teaching history with geography diintergasikan able to improve the literacy skills of students PIPS history through exploration of local history Temple Clowns. Keywords : history, geography, literacy http://dx.doi. org/10.17977/um022v1i22016p130
Assessing the Role of PLCG2*M28L Risk In A Novel Mouse Model Late‐Onset Alzheimer’s Disease

MODEL‐AD has developed and characterized novel mouse models that aim to better phenocopy human LOAD for preclinical testing. More than 40 different models carrying combinations of LOAD risk factors have been created and assessed for relevance to LOAD. In this study, we aim to determine the mechanisms by which variations in the phospholipase C gamma 2 (PLCG2) gene increase risk for LOAD.
DISTANCE BASED TOLL SETTING OF THE URBAN EXPRESSWAY BY THE STOCHASTIC USER EQUILIBRIUM WITH VARIABLE DEMAND MODEL

The Metropolitan expressway, the Hanshin Expressway which is a urban expressway switched over from a uniform toll to a distance based toll in January, 2012. In this study, the pricing based on the distance based toll system assuming the ETC use is examined. The change of level of toll affects the traffic demand. Therefore, the traffic assignment model with variable demand that include the traffic demand es-timation is used. In addition, the transit traffic is considered. The stochastic user equilibrium traffic assignment model is used. In this study, the pricing of the urban expressway is examined.
Evaluating the source, age, thermal history and palaeoenvironments of deposition of Australian and Western Canadian petroleum systems: compound specific stable isotopes coupled with inorganic trace elements

* Directly related to PhD. *Maslen, E. , Grice, K. , Pilgrim, T. , Watling, J., and Edwards, D. An integrated inorganic and organic geochemical study to evaluate the origin/age of crude oils in Australian petroleum systems. Poster Presentation, 10th Australasian Environmental Isotope and 3rd Australasian Hydrogeology Research Conference, December 2009, Perth, Australia. Best Student Poster Award.
Validation of the classiﬁcation of surgically treated acetabular fractures in the Swedish Fracture Register

Objectives: To validate the classiﬁcation of surgically treated acetabular fractures in the Swedish Fracture Register (SFR) and to investigate the intra-and interrater reliability of the Judet-Letournel / AO/OTA classiﬁcation systems. Methods: Surgically treated acetabular fractures were randomly selected from the SFR ( n = 132) and 124 fractures were classiﬁed independently by three experienced orthopedic pelvic surgeons at two different occasions. A gold standard classiﬁcation was established for each case after these two sessions or, if necessary, after a discussion session. The gold standard classiﬁcation was compared to the registered SFR classiﬁcation to assess the validity of SFR data. Accuracy and intra-and interrater agreement were evaluated using Cohen ´s kappa with interpretation according to Landis and Koch. Results: There was moderate agreement between the established gold standard classiﬁcation and the SFR (kappa 0.43). The level of agreement differed between classiﬁcation groups. The intrarater agreement was substantial to almost perfect and interrater agreement was moderate to substantial. Conclusions: The accuracy of acetabular fracture classiﬁcations in the SFR was moderate and comparable to previous validation studies from the SFR on other fracture types. As the accuracy differed between fracture groups, care should be taken when analyzing data from the SFR on speciﬁc acetabular fracture groups. © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
The distribution of rodents in Owens Lake region, Inyo County, California

: The distribution and relative abundance of rodents in Owens Lake Region, Inyo County, California are discussed. Seventeen species (18 subspecies) of rodents were recorded from 10 plant associations. Factors limiting the distribution of some rodents were soil texture (Dipodomys deserti, Perognathus formosus and Peromyscus crinitus) and vegetation (Reithrodontomys megalotis, Microtus calif ornicus and Mus muse ulus). The relative abundance of the other species may be influenced by either or both factors. The number of rodent species in each plant association was positively correlated with increased vegetative spatial heterogeneity. Faunal relationship values are compared for each plant association. Biogeographical comments are given.
Applications, and Future Directions Clinical Intracranial Clots: Current Theories, Radiology-Pathology Correlations of

SUMMARY: In recent years, there has been substantial progression in the ﬁ eld of stroke clot/thrombus imaging. Thrombus imaging aims to deduce the histologic composition of the clot through evaluation of various imaging characteristics. If the histology of a thrombus can be reliably determined by noninvasive imaging methods, critical information may be extrapolated about its expected response to treatment and about the patient ’ s clinical outcome. Crucially, as we move into an era of stroke therapy individualization, determination of the histologic composition of a clot may be able to guide precise and targeted therapeutic effort. Most radiologists, however, remain largely unfamiliar with the topic of clot imaging. This article will review the current literature regarding clot imaging, including its histologic backdrop, the correlation of images with cellular components and treatment responsiveness, and future expectations.
Forecasting 24 h averaged PM 2 . 5 concentration in the Aburrá Valley using tree-based machine learning models, global forecasts, and satellite information

We develop a framework to forecast 24 h averaged particulate matter (PM 2 . 5 ) concentrations 4 d in advance in ground-based stations over the metropolitan area of the Aburrá Valley, Colombia. The input variables are gathered from a highly diverse set of sources, including in situ real-time PM 2 . 5 observations, meteorological forecasts from the Global Forecasting System (GFS), aerosol optical depth (AOD) forecasts from the European Copernicus Atmosphere Monitoring Service (CAMS), and the Moderate Resolution Imaging Spectroradiometer (MODIS) active ﬁre products. We compare the performance of two tree-based machine learning (ML) methods, random forests (RFs) and gradient boosting (GB), with linear regression as a baseline for error metrics. One of the disadvantages of tree-based models is their inability to make skillful predictions
Redescription of Rhacophorus tuberculatus (Anderson, 1871) and the validity of Rhacophorus verrucopus Huang, 1983

Rhacophorus tuberculatus and Rhacophorus verrucopus are two morphologically similar species described in 1871 and 1983 respectively. Their taxonomic distinctiveness has been questioned in the past. In the current study, we encountered frogs that we confer to R. tuberculatus based on morphological similarity to a syntype of this species. We redescribe the species based on a re-examination of a syntype, which is designated as a lectotype here, and additional specimens from Garo hills of Meghalaya. We also present molecular data, natural history notes, and report a range extension of this species. Molecular phylogenetic analysis based on the 16S rRNA fragment revealed minimal genetic divergences (0.20–1.74% uncorrected p-distance) between specimens identified as either R. tuberculatus or R. verrucopus from different locations. On the basis of molecular data and morphological characteristics, we conclude that R. verrucopus is a junior synonym of R. tuberculatus .
Ontological Framework to Improve Motion Planning of Manipulative Agents through Semantic Knowledge-Based Reasoning

This paper describes the actions taken in developing a framework that aims to improve the motion planning of a manipulative robotic agent through reasoning based on semantic knowledge. The Semantic Web Rule Language (SWRL) was employed to draw new insights from the existing information about the robotic system and its environment. Recent ontology-based standards have been developed (IEEE 1872-2015; IEEE 1872.2-2021; IEEE 7007-2021), and others are currently under development (IEEE P1872.1; IEEE P1872.3) to improve robot performance in task execution. Ontological knowledge “semantic map" was generated using a deep neural network trained to detect and classify objects in the environment where the manipulator agent acts. Manipulation constraints were deduced, and the environment corresponding to the agent’s manipulation workspace was created so the planner could interpret it to generate a collision-free path. Several SPARQL queries were used to explore the semantic map and allow ontological reasoning. The proposed framework was implemented and validated in a real experimental setting, using the ROSPlan planning framework to perform the planning tasks. This ontology-based framework proved to be a promising strategy. E.g., it allows the robotic manipulative agent to interact with objects, e.g., to choose a mobile phone or a water bottle, using semantic information from the environment to solve the requested tasks.
Recommendations for the evaluation of left ventricular diastolic function by echocardiography.

The assessment of left ventricular (LV) diastolic function should be an integral part of a routine examination, particularly in patients presenting with dyspnea or heart failure. About half of patients with new diagnoses of heart failure have normal or near normal global ejection fractions (EFs). These patients are diagnosed with “diastolic heart failure” or “heart failure with preserved EF. ”1 The assessment of LV diastolic function and filling pressures is of paramount clinical importance to distinguish this syndrome from other diseases such as pulmonary disease resulting in dyspnea, to assess prognosis, and to identify underlying cardiac disease and its best treatment. LV filling pressures as measured invasively include mean pulmonary wedge pressure or mean left atrial (LA) pressure (both in the absence of mitral stenosis), LV end-diastolic pressure (LVEDP; the pressure at the onset of the QRS complex or after A-wave pressure), and pre-A LV diastolic pressure (Figure 1). Although these pressures are different in absolute terms, they are closely related, and they change in a predictable progression with myocardial disease, such that LVEDP increases prior to the rise in mean LA pressure. Figure 1 The 4 phases of diastole are marked in relation to high-fidelity pressure recordings from the left atrium (LA) and left ventricle (LV) in anesthetized dogs. The first pressure crossover corresponds to the end of isovolumic relaxation and mitral valve opening. In the first phase, left atrial pressure exceeds left ventricular pressure, accelerating mitral flow. Peak mitral E roughly corresponds to the second crossover. Thereafter, left ventricular pressure exceeds left atrial pressure, decelerating mitral flow. These two phases correspond to rapid filling. This is followed by slow filling, with almost no pressure differences. During atrial contraction, left atrial pressure again exceeds left ventricular pressure. The solid arrow points to left ventricular minimal pressure, the dotted arrow to left ventricular …
Worldwide cotton production and trade during COVID Worldwide cotton production and trade during COVID Worldwide cotton production and trade during COVID Worldwide cotton production and trade during COVID----19

The COVID-19 pandemic has posed a significant impact on agriculture. Due to its importance in world trade and human life, the effects of the pandemic on the cotton economy were evaluated by using the data of important organizations such as the U.S. Department of Agriculture, the World Trade Organization, and International Cotton Advisory Committee in this study. With the Chow test, which measures of structural breaks, the effects of COVID-19 on cotton production and trade were examined. According to the Chow test results, the pandemic had no significant effect on cotton production, exports and imports in the People’s Republic of China and Türkiye, while being highly influential on cotton production and exports in the U.S. and Brazil. Distinctively, in Pakistan, it had a significant impact on cotton production and import. It was observed that although the demand, trade and prices for cotton were descended, the cotton prices started to recover with the increase in demand in the third quarter of 2020. In June 2022, the highest peak in cotton prices was observed. As a conclusion, it is shown that cotton production and trade during the pandemic were affected in all countries except People’s Republic of China and Türkiye. However, the marks of the effects of factors such as decreasing stocks, uncertainties in national economies, high inflation and increase in production costs on the cotton economy will be better understood in the coming years.
An Interactive Web-Based Visual Analytics Tool for Detecting Strategic Eye Movement

Eye movement data contains spatial and temporal information, typically recorded by tracking the eyes of several people. The immense flood of data demands for a visual analytics tool that provides a condensed view on the data with the goal to identify strategic eye movement patterns. These patterns can be useful to detect visual problems or design flaws in the displayed stimuli with the goal to improve them. In this Bachelor End Project we describe an interactive and web-based visual analytics tool combining linked visualization techniques, algorithmic approaches, and the perceptual strengths of the human observer with a special focus on detecting hierarchical scanning behavior in eye movement data. To illustrate the usefulness of our concept we apply it to real-world eye movement data and finally, discuss scalability issues and limitations.
Study of the B − → Λ + c ¯ Λ − c K − decay

The decay B − → Λ þ c ¯ Λ − c K − is studied in proton-proton collisions at a center-of-mass energy of ﬃﬃﬃ s p ¼ 13 TeV using data corresponding to an integrated luminosity of 5 fb − 1 collected by the LHCb experiment. In the Λ þ c K − system, the Ξ c ð 2930 Þ 0 state observed at the BABAR and Belle experiments is resolved into two narrower states, Ξ c ð 2923 Þ 0 and Ξ c ð 2939 Þ 0 , whose masses and widths are measured to be m ð Ξ c ð 2923 Þ 0 Þ ¼ 2924 . 5 (cid:2) 0 . 4 (cid:2) 1 . 1 MeV, m ð Ξ c ð 2939 Þ 0 Þ ¼ 2938 . 5 (cid:2) 0 . 9 (cid:2) 2 . 3 MeV, Γ ð Ξ c ð 2923 Þ 0 Þ ¼ 4 . 8 (cid:2) 0 . 9 (cid:2) 1 . 5 MeV, Γ ð Ξ c ð 2939 Þ 0 Þ ¼ 11 . 0 (cid:2) 1 . 9 (cid:2) 7 . 5 MeV, where the first uncertainties are statistical and the second systematic. The results are consistent with a previous LHCb measurement using a prompt Λ þ c K − sample. Evidence of a new Ξ c ð 2880 Þ 0 state is found with a local significance of 3 . 8 σ , whose mass and width are measured to be 2881 . 8 (cid:2) 3 . 1 (cid:2) 8 . 5 MeV and 12 . 4 (cid:2) 5 . 3 (cid:2) 5 . 8 MeV, respectively. In addition, evidence of a new decay mode Ξ c ð 2790 Þ 0 → Λ þ c K − is found with a significance of 3 . 7 σ . The relative branching fraction of B − → Λ þ c ¯ Λ − c K − with respect to the B − → D þ D − K − decay is measured to be 2 . 36 (cid:2) 0 . 11 (cid:2) 0 . 22 (cid:2) 0 . 25 , where the first uncertainty is statistical, the second systematic and the third originates from the branching fractions of charm hadron decays. DOI: 10.1103/PhysRevD.108. 012020
Chapter Immature Dengue Virus Is Infectious in Human Immature Dendritic Cells via Interaction with the Receptor Molecule DC-SIGN 3

Background Dengue Virus (DENV) is the most common mosquito-borne viral infection worldwide. Important target cells during DENV infection are macrophages, monocytes, and immature dendritic cells (imDCs). DENV-infected cells are known to secrete a large number of partially immature and fully immature particles alongside mature virions. Fully immature DENV particles are considered non-infectious, but antibodies have been shown to rescue their infectious properties. This suggests that immature DENV particles only contribute to the viral load observed in patients with a heterologous DENV re-infection.
HILS: hybrid indoor localisation system using Wi-Fi received signal strength and inertial sensor's measurements of smart-phone

This study presents a smart-phone-based hybrid indoor localisation system (HILS), which integrates two different localisation approaches, i.e., pedestrian dead reckoning (PDR) and Wi-Fi-based localisation to compensate the limits of each other. In PDR, the localisation accuracy degrades continuously when the moving distance increases from the starting reference point. However, Wi-Fi-based trilateration method requires the Wi-Fi signals from at least three access points (APs). In this study, the authors propose a more efficient novel Heron-bilateration-based position determination (HBPD) technique, which requires the Wi-Fi signals from only two APs to locate the mobile device. The proposed HILS utilises the HBPD technique to reset the bias drift errors involved with inertial sensors, and compensate the unavailability of strong Wi-Fi signals from APs using the PDR method. In this work, an experimental testbed is developed to collect the Wi-Fi signals and evaluate the proposed method. The proposed HILS is also compared with five other benchmark methods for two different trajectories and the experimental results show that the mean localisation error is decreased up to 1.68 and 1.96 m, which indicate the improvement by 16.83 and 20.97% for both the trajectories, respectively, in comparison with the best performing method among the benchmark methods.
(2019). Robust estimations of the Region of Attraction using invariant sets. Journal of the Franklin Institute, 356(8), 4622-4647.

The Region of Attraction of an equilibrium point is the set of initial conditions whose trajectories converge to it asymptotically. This article, building on a recent work on positively invariant sets, deals with inner estimates of the ROA of polynomial nonlinear dynamics. The problem is solved numerically by means of Sum Of Squares relaxations, which allow set containment conditions to be enforced. Numerical issues related to the ensuing optimization are discussed and strategies to tackle them are proposed. These range from the adoption of diﬀerent iterative methods to the reduction of the polynomial variables involved in the optimization. The main contribution of the work is an algorithm to perform the ROA calculation for systems subject to modeling uncertainties, and its applicability is showcased with two case studies of increasing complexity. Results, for both nominal and uncertain systems, are compared with a standard algorithm from the literature based on Lyapunov function level sets. They conﬁrm the advantages in adopting the invariant sets approach, and show that as the size of the system and the number of uncertainty increase, the proposed heuristics ameliorate the commented numerical issues. 1
Utilisation des gites par la fouine (Maries foina) dans le Jura suisse

9 fouines (5 ♂, 3 ♀ et 1 juvenile) ont ete suivies par radio-telemetrie, sur une periode allant de decembre 1986 a novembre 1991. La duree des suivis a varie de 7 jours a 6 mois selon les individus. 518 utilisations de 59 gites ont ete etablies. 92,1 % des refuges frequentes se trouvent dans des constructions humaines. Les fouines choisissent de preference la paille pour y etablir leur nid (81,2 %, N = 462). Des gites «sauvages» sont egalement utilises, principalement durant la belle saison. La frequentation des differents gites a ete etudiee, de meme que le taux de retour a ces gites qui est tres eleve (88,6 % au total). Des variations ont ete mises en evidence, selon le sexe des animaux consideres et selon les saisons
Konsep Budaya Organisasi dan Perilaku Organisasi

Budaya organisasi memegang peran penting dalam menggerakkan organisasi dengan baik. Penelitian ini mengkaji topik budaya organisasi secara umum yang dikaitkan dengan lembaga Pendidikan. Jenis metode yang digunakan dalam penelitian ini adalah metode kualitatif. Pendekatan yang digunakan adalah penelitian kepustakaan. Sumber datanya berasal dari jurnal, buku, dan artikel-artikel online. Berdasarkan kajian ini diperoleh kesimpulan bahwa budaya organisasi menunjukkan kepribadian dari organisasi tersebut. Sebuah organisasi perlu mengembangkan budaya berprestasi, mengubah pola pikir, dan memelihara kepercayaan dalam organisasi.