Miracle-dz/UniFAR-FTUs huggingface dataset:
ACCESSIBILITY OF FACILITIES PROVISION FOR PERSON WITH DISABILITIES IN MOSQUEâ

Mosque is the place where the Muslims are together performing their congregation prayers and executing the activities where thousands of mosque have been built in Malaysia which it has different design and construction methodology. Fulfilling the rights of the person with disabilities is vital as to ensure they have the opportunity to participate in the congregation prayers and also others activities conducted in the mosque. The objective of this research is to identify the presence of the facilities provision for the disable person, assessing the facilities provision and to identify the policy of the management towards person with disabilities. The access audit with a simulation has been done as to assess the accessibility of facilities provision and a semi structured interview has been conducted. Most of the facilities provisions for the disable provided in the mosque are complying with the standard MS1184:2002, but the important provision such as ramp, toilet facilities and hand rails are still did not comply with the standard. Â Keynote: Facilities, Disabled person and Mosque.
mHealth Adoption Among Older Chinese Adults: A Conceptual Model With Design Suggestions

Abstract Despite the potential benefits of mobile health (mHealth) services and applications, older adults face challenges and barriers to adopt mHealth. Published work on opportunities and challenges of mHealth for aging China has focused on trends in mHealth and its clinical applications, but not older adults’ perceptions or their processes of adoption. In this study, questionnaires and interviews were conducted to understand older adults’ perceptions and adoption of mHealth services in China. Conceptual models were generated using existing theories and refined using the findings of the user research. The proposed “pine tree model” illustrates the factors influencing Chinese older adults’ adoption of mHealth services and describes the process for better adoption. Based on the research, suggestions were proposed to promote mHealth adoption among older adults, which will inform better design of mHealth for the aging population in China.
Seismic Performance of Perforated Steel Plate Shear WallsDesigned According to Canadian Seismic Provisions

Perforated Steel Plate Shear Wall (P-SPSW) is a relatively new lateral load resisting system used for resisting wind and earthquake loads. Current North American standards have recently adopted this new lateral load resisting system and proposed guidelines for the design of P-SPSWs. Research on P-SPSW is in the initial stage and to the best of this researcher’s knowledge, no seismic performance of code designed P-SPSWs has been studied yet. The main objective of this study was to evaluate the seismic performance of code designed P-SPSWs. Three multi-storey (4-, 8-, and 12-storey) P-SPSWs were designed according to the seismic provisions in NBCC 2010 and CSA/CAN S16-09. Nonlinear time history (NTH) analysis was conducted using detailed finite element (FE) modeling techniques. The finite element (FE) model developed was validated with two experiments results for quasi- static monotonic and cyclic analysis. Excellent correlation was found between detailed FE analysis and tests result. For seismic analysis a series of ten ground motion data were chosen which were compatible with Vancouver response spectrum. All the perforated shear walls exhibited excellent seismic behavior including high stiffness, stable ductility, and good energy dissipation during nonlinear time history (NTH) analysis. It was observed from the seismic analysis that proposed code equation provided a good estimation of the shear strength of the perforated plate when the plate was fully yielded. Thus, it can be concluded that recommended equation of CSA/CAN S16-09 is conservative to select the infill plate thickness of perforated steel plate shear wall. The N2 method has been used as an easy means of seismic demand evaluation compared to nonlinear time history analysis. The applicability of the N2 method for seismic demand assessment of P-SPSWs is investigated in this research. Results from N2 method was compared with the more accurate NTH analysis results. It was observed that the N2 method predicted seismic response parameters such as roof displacement reasonably accurately for 4-and 8-storey P-SPSW. For 12-storey P-SPSW N2 method slightly overestimated the roof displacement. The applicability of the modified strip model (MSM) was also evaluated in this research for unstiffened P-SPSW. After validating two experiments, the model was used for the three selected P-SPSWs. Monotonic pushover analysis results were compared with detailed FE analysis results. It was observed that the modified strip model efficiently captures the inelastic behavior of multi-storey unstiffened P-SPSWs with adequate accuracy. The ultimate strength was predicted well, and the initial stiffness was slightly underestimated.
Discursive Constructions of Race and Gender in Racial Hate Crime Targeting Women in Sweden

ABSTRACT Research and official statistics alike identify women from racial minorities as a high-risk group for racial hate crime. Still, the construction of women in racial hate crime remains largely unstudied and the current knowledge on racial hate crime against women can at best be described as fragmentary. Therefore, aim of the present study is to explore the constructions of race and gender from the perspective of female victims of racial hate crime. The study draws on intersectional theory and consists of a discourse analysis based on nine interviews with women who have been targets of racial hate crime. The results show that the construction of race in hate crimes targeting women differs distinctively from the construction of race in hate crimes targeting men. The female victims of racial hate crime often find themselves entangled in racial power struggles between men: a power struggle in which men may show their status vis-á-vis out-group men by sexually controlling or abusing women. Thereby, women’s bodies are used as a tool in racial status conflicts between groups of men, as identities, scripts, and stereotypes found primarily within conservatism and right-wing ideology are enacted on the bodies of the victims.
Association of the Processing Speed Test with depression and brain magnetic resonance imaging metrics in Japanese patients with multiple sclerosis

Cognitive dysfunction occurs in a substantial proportion of patients with multiple sclerosis (MS). The Processing Speed Test (PST) is a self‐administered, tablet‐based cognitive screening tool that closely resembles the Symbol Digit Modalities Test and can be quickly administered. In this study we assessed the performance of the PST and its correlation with the clinical and radiological aspects of MS in Japanese patients.
Karakterisasi Mutu Ekstrak Daun Sirsak (Annona muricata L.) dari Tiga Tempat Tumbuh

Abstract The soursop leaves (Annona muricata L.) are part of soursop plants that have a potential to be developed as anticancer as it contains annonacin. Annonacin is one of the acetogenins compounds group that are cytotoxic and mostly can be found in soursop plants. In the development of pharmaceutical preparation, apart from their safety and efficacy, quality of medicinal raw materials has been one of the important factors. Soursop leaf extract quality can be affected by their types of growing places. Therefore, the research of the quality characterization of soursop leaf extracts from three different growing places needs to be done in order to identify the quality of the extract used as herbal medicines. Quality inspection of soursop leaf extracts was including non-specific and specific parameters. Soursop leaf samples were obtained from three growing places with different altitude, which were from Tawangmangu, Central Java,; Pasuruan, East Java; and Bogor, West Java.The results showed that the best leaf extracts of soursop was from Pasuruan with non-specific parameters: (water content of 7,15% , ash content of 3,59% and 0,44 ppb levels of aflatoxin G2, and specific parameters: (the concentration of annonacin is 12,80%). Keywords: soursop leaf, annonacin, characterization, quality extracts Abstrak Daun sirsak (Annona muricata L.) merupakan bagian dari tanaman sirsak yang berpotensi untuk dikembangkan sebagai antikanker karena mengandung annonacin. Annonacin adalah salah satu senyawa golongan acetogenins yang bersifat sitotoksik dan paling banyak terkandung dalam tanaman sirsak. Dalam pengembangan sediaan obat, mutu bahan baku obat merupakan salah satu faktor penting, selain keamanan dan efektifitas. Mutu ekstrak daun sirsak dapat dipengaruhi oleh perbedaan tempat tumbuh. Oleh karena itu, penelitian karakterisasi terhadap mutu ekstrak daun sirsak pada tiga tempat tumbuh perlu dilakukan untuk mengidentifikasi mutu ekstrak yang digunakan sebagai obat herbal. Pemeriksaan mutu ekstrak daun sirsak mencakup parameter non spesifik dan spesifik. Sampel daun sirsak diperoleh dari tiga tempat tumbuh dengan ketinggian yang berbeda, yaitu daerah Tawangmangu, Jawa Tengah; Pasuruan, Jawa Timur; dan Bogor, Jawa Barat. Hasil penelitian menunjukkan bahwa ekstrak daun sirsak yang paling baik adalah ekstrak dari daerah Pasuruan dengan parameter non spesifik: (kadar air 7,15%, kadar abu 3,59%, kadar aflatoksin G2 0,44 ppb), dan parameter spesifik: (kadar annonacin sebesar 12,80%). Kata kunci: daun sirsak , annonacin, karakterisasi, mutu ekstrak
Determination of soil erodibility (K) factor derived from different geologic formations of Akwa Ibom State

The onsite and offsite effect of erosion has caused it to be considered as a global issue. For erosion to occur there must be soil erodibility and rainfall erosivity. Different geologic formations give rise to different types of soil and this has affect their responses to an erosive event. Five (5) geologic formations were identified within the study area. This study assessed the erodibility of soils from different geologic formations. Soil samples were taken at a depth of 0-10, 10-20, 20-30 cm for standard laboratory analysis. The fine sand, silt, clay, organic matter and permeability of the soils obtained from the different geologic formations were used to determine their erodibility indices using Wischmeier and Smith model. The results obtained shows that Alluvium geologic formation has an average K factor of 0.150 tons MJ-1 hmm-1. Ameki had an average K factor of 0.131 MJmmha-1hr-1yr. Benin had an average K factor of 0.130 tons MJ-1 hmm-1. Imo had an average K factor of 0.147 tons MJ-1 hmm-1. Ogwashi had an average K factor K of 0.127 tons MJ-1 hmm-1. The results show that soils within the study area are vulnerable to erosion.
Probability of committed warming exceeding 1.5 ∘C and 2.0 ∘C Paris targets

The feasibility of achieving the Paris 1.5 ∘C target continues to be a complex and hotly debated question. To help resolve this question we calculate probability distributions of the committed warming that would ensue if all anthropogenic emissions were stopped immediately, or at successive future times. We use a simple Earth system model together with a Bayesian approach that incorporates multiple lines of evidence and accounts for known model biases. This analysis reveals a wide range of possible outcomes, including no further warming, but also a 15% chance of overshooting the 1.5 ∘C target, and 1%–2% chance for 2 ∘C, even if all emissions had stopped in 2020. If emissions merely stabilize in 2020 and stop in 2040, these probabilities increase to 90% and 17%. The uncertainty arises mainly from that of present forcing by aerosols. Rather than there being a fixed date by which emissions must stop, the probability of reaching either target—which is already below 100%—gradually diminishes with delays in eliminating emissions, by 3%–4% per year for 1.5 ∘C.
Recent change in spatial distribution of the European flat oyster (Ostrea edulis) inferred from field data and empirical models of living oysters and empty shells

Abstract Marine coastal areas are increasingly affected by human activities resulting in changes in species and habitat distributions. Understanding these patterns and its causes and consequences is important for conservation and restoration of such changing habitats. One habitat that has been heavily affected by human use are the North Sea oyster beds which once were abundant but have lost large parts of its coastal distribution due to overexploitation. Based on data of living and dead assemblages of Ostrea edulis collected using video transects, we used an ensemble modeling technique to model and predict current and recent distribution of O. edulis along the Swedish west coast where its distribution is, in relative terms, still rather unaffected. We could detect a recent change in the distribution of O. edulis along the coast which to a large extent could be attributed to a change in depth distribution, suggesting that the population of O. edulis have a slightly shallower distribution today than in the past. Although a potential mismatch between living and dead assemblages, caused by a complex combination of biological and environmental conditions, needs to be considered in the interpretations drawn, it may be a way around the lack of suitable background data in management decisions. This provides important information for management and conservation of the native oyster beds. Furthermore, this study illustrates a method for identifying recent changes in species distribution using dead assemblages of bivalves.
Efficient screening for severe aortic valve stenosis using understandable artificial intelligence: a prospective diagnostic accuracy study

Abstract Aims The medical need for screening of aortic valve stenosis (AS), which leads to timely and appropriate medical intervention, is rapidly increasing because of the high prevalence of AS in elderly population. This study aimed to establish a screening method using understandable artificial intelligence (AI) to detect severe AS based on heart sounds and to package the built AI into a smartphone application. Methods and results In this diagnostic accuracy study, we developed multiple convolutional neural networks (CNNs) using a modified stratified five-fold cross-validation to detect severe AS in electronic heart sound data recorded at three auscultation locations. Clinical validation was performed with the developed smartphone application in an independent cohort (model establishment: n = 556, clinical validation: n = 132). Our ensemble technique integrating the heart sounds from multiple auscultation locations increased the detection accuracy of CNN model by compensating detection errors. The established smartphone application achieved a sensitivity, specificity, accuracy, and F1 value of 97.6% (41/42), 94.4% (85/90), 95.7% (126/132), and 0.93, respectively, which were higher compared with the consensus of cardiologists (81.0%, 93.3%, 89.4%, and 0.829, respectively), implying a good utility for severe AS screening. The Gradient-based Class Activation Map demonstrated that the built AIs could focus on specific heart sounds to differentiate the severity of AS. Conclusions Our CNN model combining multiple auscultation locations and exported on smartphone application could efficiently identify severe AS based on heart sounds. The visual explanation of AI decisions for heart sounds was interpretable. These technologies may support medical training and remote consultations.
Places That Bond and Bind: On the Interplay of Space, Places, and Social Networks

Social networks of socially disadvantaged individuals can help them in coping with everyday life and avoiding social exclusion. At the same time, social ties also have the power to bind an individual to their disadvantageous situation, perpetuating the risks of social exclusion. One mechanism through which ties can be established are “foci”: extra‐network structures around which common interactions occur (e.g., family, workplace, clubs) that usually have spatial anchor points (places) where joint interactions happen. To better understand this interplay of places and networks, we use a methodological novelty that connects a person’s everyday places with their ego‐centred network (two‐mode network). We analyse in depth two cases (elderly women living alone) from a mixed‐methods study conducted in rural peripheries in eastern Germany, and we combine data from GPS tracking, qualitative interviews, and egocentric networks. A central finding of our analysis is that tie formation in places is more successful if ego has certain resources (e.g., cultural, financial, or time resources) that allow them to utilise places as foci—hence, ego and places must “match” in their characteristics. Beyond that, the existing foci (and their spatial anchoring as places in everyday life) in which ego is integrated must be considered as structures. Even if a person has enough resources and easy access to places with characteristics that promote contact, this does not automatically mean that they will form ties in such places, as the person’s network plays a major role in whether they frequent these places and establish new ties there.
Evading Transparency, Doubting Democracy, Dreaming Big: Grassroots Perspectives on Science Governance in Russia

ABSTRACT Global transformation of academia under “new public management” and metrics-based assessment has brought forth intense debates on the governance of science. This study investigates key values and visions of academic governance in Russia through a set of focus groups with scientists plus a nationwide survey (n = 6,166) conducted in 2019. Russian scholars defy both state pressures and grassroots self-governance (due to fundamental distrust of peers); the preservation of privacy is their key concern. Finally, we present basic self-images of science (competitive, cooperative, and mobilizational) and point out the tensions between liberalism and democracy in post-Soviet academia.
A Linear Superposition Model of Envelope and Frequency Following Responses May Help Identify Generators Based on Latency

Abstract Envelope and frequency-following responses (FFRENV and FFRTFS) are scalp-recorded electrophysiological potentials that closely follow the periodicity of complex sounds such as speech. These signals have been established as important biomarkers in speech and learning disorders. However, despite important advances, it has remained challenging to map altered FFRENV and FFRTFS to altered processing in specific brain regions. Here we explore the utility of a deconvolution approach based on the assumption that FFRENV and FFRTFS reflect the linear superposition of responses that are triggered by the glottal pulse in each cycle of the fundamental frequency (F0 responses). We tested the deconvolution method by applying it to FFRENV and FFRTFS of rhesus monkeys to human speech and click trains with time-varying pitch patterns. Our analyses show that F0ENV responses could be measured with high signal-to-noise ratio and featured several spectro-temporally and topographically distinct components that likely reflect the activation of brainstem (<5 ms; 200–1000 Hz), midbrain (5–15 ms; 100–250 Hz), and cortex (15–35 ms; ∼90 Hz). In contrast, F0TFS responses contained only one spectro-temporal component that likely reflected activity in the midbrain. In summary, our results support the notion that the latency of F0 components map meaningfully onto successive processing stages. This opens the possibility that pathologically altered FFRENV or FFRTFS may be linked to altered F0ENV or F0TFS and from there to specific processing stages and ultimately spatially targeted interventions.
Structural Condition Assessment Of Prestressed Concrete Transit Guideways

Objective condition assessment is essential to make better decisions for safety and serviceability of existing civil infrastructure systems. This study explores the condition of an existing transit guideway system that has been in service for thirty-five years. The structural system is composed of six-span continuous prestressed concrete bridge segments. The overall transit system incorporates a number of continuous bridges which share common design details, geometries, and loading conditions. The original analysis is based on certain simplifying assumptions such as rigid behavior over supports and simplified tendon/concrete/steel plate interaction. The current objective is to conduct a representative study for a more accurate understanding of the structural system and its behavior. The scope of the study is to generate finite element models (FEMs) to be used in static and dynamic parameter sensitivity studies, as well load rating and reliability analysis of the structure. The FEMs are used for eigenvalue analysis and simulations. Parameter sensitivity studies consider the effect of changing critical parameters, including material properties, prestress loss, and boundary and continuity conditions, on the static and dynamic structural response. Load ratings are developed using an American Association for State Highway Transportation Officials Load and Resistance Factor Rating (AASHTO LRFR) approach. The reliability of the structural system is evaluated based on the data obtained from various finite element models. Recommendations for experimental validation of the FEM are presented. This study is expected to provide information to make better decisions for operations, maintenance and safety requirements; to be a benchmark for future studies, to establish a procedure and methodology for structural condition assessment, and to contribute to the general research body of knowledge in condition assessment and structural health monitoring. iii
The dynamic behavior of amplified systems

Summary form only given. Optical networking allows frequent dropping and adding of WDM channels, and has intensified the study of optical transients in amplified systems. In addition to transients from adding or dropping channels, there is also a fear that when the first channel is added to an amplified system, there could be a high-powered spike of light, possibly strong enough to damage optical components. It is important to understand this effect as well as the drop-add transients in EDFA systems.
Surveying stakeholder's perception of glufosinate and use in North Carolina

Abstract Glufosinate is among the few remaining effective herbicides for postemergence weed control in North Carolina crops. The evolution of glufosinate resistance in key weeds is currently not widespread in North Carolina, but to better assess the current status of glufosinate effectiveness, surveys were distributed at Extension meetings in 2019 and 2020. The surveys were designed to provide information about North Carolina farmers' perception of glufosinate and its use. Survey results indicate that many North Carolina farmers (≥26%) apply glufosinate at the correct timing (5- to 10-cm weeds). In addition, North Carolina farmers (≥22%) are applying glufosinate as a complementary herbicide to other efficacious herbicides and to control herbicide-resistant weeds, suggesting that glufosinate is part of a diverse chemical weed management plan. Conversely, survey findings indicated that some farmers (13% to 17%) rely exclusively on glufosinate for weed control. Additionally, 28% to 30% of farmers reported glufosinate control failures, and control failures were observed on several weed species among corn, cotton, and soybean crops. The results of the survey suggest that most North Carolina farmers are currently stewarding glufosinate, but they also support the need for Extension personnel to keep educating farmers on how to correctly use glufosinate to delay the evolution of glufosinate-resistant weeds. Semiannual surveys should be distributed to monitor where glufosinate control failures occur and the weed species not being controlled. Nomenclature: Glufosinate; cotton; Gosspium hirsutum L. ; corn; Zea mays L. ; soybean; Glycine max L. Merr.