Miracle-dz/UniFAR-FTUs huggingface dataset:
Nutritional Status and Associated Factors Among Children 6-59 months Who Attend IMNCI Departments in Bole Sub City Health Centers, Addis Ababa, Ethiopia, 2021

Background: Globally, 52 million children under 5-years of age were wasted and 155 million are stunted, while 41 million are overweight/obese. However, the contemporary rate of tumbling malnutrition is not fast ample to reach the World Health Organization global target for dropping malnutrition by 40% by 2025. Hence aimed to assess nutritional status and associated factors among under-five children IMNCI departments in the Bole Sub City Health centers, Addis Ababa, Ethiopia. Methods: The study was conducted in the Bole sub-city at selected health centers through a cross-sectional study design. 385 Sample were selected by simple random sampling. Data were collected through a face-to-face interview. Statistical Package for Social Science (SPSS) software version 25 was used for analysis. Descriptive statistics were used to describe the characteristics of the study population. Binomial and multinomial logistic regression was fitted to identify factors associated with undernutrition. Result: The magnitude of normal nutrition was 69.6%, overweight/obese 3.2%, and undernutrition 27.2 %. Obese mothers increasing odd over nutrition (AOR=9.13, at 95%, CI: 1.05-79.79). While, having counseling about child nutrition (AOR= 18.37, at 95% CI: 4.06-83.08), who feed children (AOR=6.43, 95% CI: 1.11-37.43) and growth monitoring (AOR =0.50, at 95%, CI: 0.26-0.98) were statistically associated with undernutrition.Conclusion: The magnitude of normal nutrition was higher than both under-nutrition and obese/overweight. However, the magnitude of undernutrition chiefly stunting was remained high. Obese mothers, having counseling on nutrition, who feed children, and growth monitoring were statistically associated with nutritional status.
Motor Unit Discharges from Multi-Kernel Deconvolution of Single Channel Surface Electromyogram

Surface electromyogram (EMG) finds many applications in the non-invasive characterization of muscles. Extracting information on the control of motor units (MU) is difficult when using single channels, e.g., due to the low selectivity and large phase cancellations of MU action potentials (MUAPs). In this paper, we propose a new method to face this problem in the case of a single differential channel. The signal is approximated as a sum of convolutions of different kernels (adapted to the signal) and firing patterns, whose sum is the estimation of the cumulative MU firings. Three simulators were used for testing: muscles of parallel fibres with either two innervation zones (IZs, thus, with MUAPs of different phases) or one IZ and a model with fibres inclined with respect to the skin. Simulations were prepared for different fat thicknesses, distributions of conduction velocity, maximal firing rates, synchronizations of MU discharges, and variability of the inter-spike interval. The performances were measured in terms of cross-correlations of the estimated and simulated cumulative MU firings in the range of 0–50 Hz and compared with those of a state-of-the-art single-kernel algorithm. The median cross-correlations for multi-kernel/single-kernel approaches were 92.2%/82.4%, 98.1%/97.6%, and 95.0%/91.0% for the models with two IZs, one IZ (parallel fibres), and inclined fibres, respectively (all statistically significant differences, which were larger when the MUAP shapes were of greater difference).
Basal cell carcinoma arising within a longstanding hemangioma

Abstract Basal cell carcinomas have been reported to arise within several different tumors. Without careful attention to detail, basal cell carcinomas may go unnoticed when presenting within or directly adjacent to another distinct tumor. The increased use and accessibility of dermoscopy has allowed dermatologists to detect skin cancers that might otherwise be undetected by the naked eye. This case report details a collision, detected by dermoscopy, of a basal cell carcinoma developing within a long-standing hemangioma (cherry angioma) on the left lower eyelid of a 75-year-old man.
Dynamical analysis and microcontroller implementation of linear resistive-capacitive shunted Josephson junction model

Theoretical analysis and microcontroller implementation of linear resistor-capacitor shunted Josephson junction (LRCSJJ) model are studied in this paper. The rate-equations describing the LRCSJJ model has no or two equilibrium points. One of the equilibrium points is a saddle node and the other one is a stable node. The hysteresis loop of current-voltage curves increases with the rising of the capacitance of Josephson junction (JJ). Excitable mode, limit cycle, periodic and chaotic behaviors are found in LRCSJJ model with external alternative current (AC) source thanks to the two modulation parameters largest Lyapunov exponents (LLE) diagram. LRCSJJ model exhibits two different shapes of chaotic attractors by varying the modulation amplitude. Finally, the existence of chaotic behaviors is confirmed by microcontroller results obtained from the microcontroller implementation of LRCSJJ model.
PENCAHAYAAN BAIK UNTUK EMOSI YANG POSITIF: ANALISIS EMOSI SAAT MALAM HARI BERDASARKAN PENILAIAN TERHADAP PENCAHAYAAN LOKASI

Penelitian ini bertujuan mengeksplorasi emosi individu yang muncul saat malam hari dengan adanya pencahayan di suatu lokasi dan menganalisis hubungan antara emosi yang muncul dengan penilaian terhadap pencahayaan di lokasi tersebut saat malam hari. Penelitian dilakukan secara cross-sectional kepada 56 responden dengan memberikan open-ended question melalui survei daring. Pengujian dilakukan dengan menggunakan analisis deskriptif, kendall-tau b, dan rank biserial melalui program analisis statistik JAMOVI. Hasil menunjukkan bahwa lebih banyak partisipan yang melaporkan emosi positif (n=37) dibandingkan emosi negatif (n=18) dan netral (n=1) dengan adanya pencahayaan di lokasi target saat malam hari. Munculnya emosi positif tersebut berkorelasi dengan adanya penilaian positif terhadap pencahayaan yang ada di lokasi terkait, begitu pula sebaliknya untuk emosi negatif (r=.276, p<.05). Berdasarkan hasil penelitian ini, pencahayaan dengan desain yang dinilai positif oleh masyarakat perlu diaplikasikan khususnya pada lokasi yang memunculkan emosi negatif saat malam hari agar dapat mendukung aktivitas masyarakat saat malam hari di lokasi tersebut.
Upscaling the 2‐Powder Method for the Manufacturing of Heavy Rare‐Earth‐Lean Sintered didymium‐Based Magnets

The 2‐powder method (2PM) is compared with the grain boundary diffusion process (GBDP) for the production of high coercivity didymium‐based permanent magnets with low amount of heavy rare‐earth (HRE). The advantage of using 2PM for large magnets is demonstrated. A coarse HRE‐free main phase powder (D50 = 5.5 μm) and a fine, HRE containing anisotropy powder (D50 = 2.1 μm), are produced by strip casting, hydrogen decrepitation, and target milling, with all processing steps in the 20 kg range. The powders are subsequently blended in different concentrations to reach a HRE content of 0, 1, 2, and 3 wt% in the sintered magnets. While remanence is only slightly reduced by this process, compared with the plain didymium magnet, the coercivity of the magnets is increased by up to over 750–1687 kA m−1. The microstructural and magnetic characterization both confirm the formation of a HRE‐enriched shell region enclosing the Nd2Fe14B grains. In contrast to magnets produced by GBDP, the amount of Dy substitution and thickness of the shells is constant throughout the entire volume of the magnet.
Social capital and perceived tenure security of informal housing: Evidence from Beijing, China

Perceived tenure security is recognised to affect the socioeconomic behaviours and wellbeing of informal settlement dwellers. The provision of perceived tenure security is centred on the developmental agenda as a key policy alternative of tenure legalisation. Despite the consensus about its importance, the reason perceived tenure security is different amongst dwellers remains unclear. To fill this gap, we introduce social capital theory to understand the formation of and disparity in perceived tenure security. The hypotheses are that dwellers living in informal settlements with higher collective social capital and having higher individual social capital tend to feel more secure on their tenure because of higher backing power attained to deter the threats of eviction. We examine the hypotheses using a structural equation model approach to a dataset collected from three small property rights housing communities, which are emerging informal settlements in urban China. Modelling results support our hypotheses and suggest that female, low-income and migrant dwellers tend to feel less secure on their tenure because of the lack of social capital to deter the threats to their tenure. This study contributes to a new sociological explanation for the disparity in perceived tenure security other than the established psychological explanation. Empirically, this study contributes to the understanding of the rapid development of small property rights housing developments in China from the perspective of how dwellers develop security on informal tenure.
Measurement report: Molecular characteristics of cloud water in southern China and insights into aqueous-phase processes from Fourier Transform Ion Cyclotron Resonance Mass Spectrometry

Abstract. Characterizing the molecular composition of cloud water could provide unique insight into the aqueous chemistry. Field measurement was conducted at Mt. Tianjing in southern China during May, 2018. Thousands of formulas (C5-30H4-55O1-15N0-2S0-2) were identified in cloud water by Fourier transform-ion cyclotron resonance mass spectrometry (FT-ICR MS). CHON represents the dominant component (43.6–65.3 % of relative abundance), followed by CHO (13.8–52.1 %). S-containing formulas constitute the remaining ~10–20 %. Molecules have O/C of 0.45–0.56 and the double-bond equivalent of 5.10–5.70. More than 90 % are assigned as aliphatic and olefinic species. No statistical difference of oxidation state is observed between cloud water and interstitial PM2.5. CHON with aromatic structures are abundant in cloud water, suggesting their enhanced in-cloud formation. Other organics in cloud water are mainly from biomass burning and oxidation of biogenic volatile organic compounds. The cloud water contains more abundant CHON and CHOS at night, which are mainly contributed by –N2O5 function and organosulfates, demonstrating the enhanced formation in dark aqueous or multi-phase reactions. While more abundant CHO are observed during the daytime, likely due to the photochemical oxidation and photolysis of N-/S-containing formulas. The results provide an improved understanding on the in-cloud aqueous-phase reactions.
Investigating the Coupled Magnetosphere‐Ionosphere‐Thermosphere (M‐I‐T) System's Responses to the 20 November 2003 Superstorm

Utilizing multi‐satellite/instrument observations, we investigate the November 20 2003 Superstorm's impacts on the forward fountain, the duskside and dawnside subauroral flows, and the chemical makeup of the ionospheric plasma. New results show that the nightside forward fountain became active before local midnight and soon after the interplanetary magnetic field (IMF) turned southward at ∼12 UT and remained active for the rest of 20 November and early 21 November. The fountain‐related strong equatorial upward E × B drift lifted up the F2 layer above ∼391 km altitude creating low plasma densities at equatorial and low latitudes. In both hemispheres, the large convection and subauroral electric (E) fields drove plasmaspheric erosions eroding the mid‐ and high‐latitude ionosphere poleward of the plasmapause. On the duskside and dawnside, the subauroral E field drove the Subauroral Polarization Streams (SAPS) in the sunward direction. As our southern cases show, the SAPS E field changed the ionospheric plasma's chemical makeup by locally enhancing the NO+ content and thus decreasing the O/N2 content associated with depleted plasma densities. We conclude that in the strongly coupled Magnetosphere‐Ionosphere‐Thermosphere system, the plasmaspheric erosion had a primary role in depleting the ionospheric plasma. Furthermore, the solar wind pressure disturbances during the long‐lasting southward IMF orientation led to the development of conjugate duskside and dawnside sunward SAPS flows, and SAPS flows contributed to the ionospheric plasma's depletion by increasing the NO+ content as our southern cases show. For the first time, correlated multi‐satellite observations show the dawnside sunward SAPS flows in latitudes and in longitudes.
A compositional model for effort-aware Just-In-Time defect prediction on android apps

Android apps have played important roles in daily life and work. To meet the new requirements from users, the apps encounter frequent updates, which involves a large quantity of code commits. Previous studies proposed to apply Just ‐ in ‐ Time (JIT) defect prediction for apps to timely identify whether the new code commits can introduce defects into apps, aiming to assure their quality. In general, high ‐ quality features are benefits for improving the classification performance. In addition, the number of defective commit instances is much fewer than that of clean ones, that is the defect data is class imbalanced. In this study, a novel compositional model, called KPIDL, is proposed to conduct the JIT defect prediction task for Android apps. More specifically, KPIDL first exploits a feature learning technique to preprocess original data for obtaining better feature representation, and then introduces a state ‐ of ‐ the ‐ art cost ‐ sensitive cross ‐ entropy loss function into the deep neural network to alleviate the class imbalance issue by considering the prior probability of the two types of classes. The experiments were conducted on a benchmark defect data consisting of 15 Android apps. The experimental results show that the proposed KPIDL model performs significantly better than 25 comparative methods in terms of two effort ‐ aware performance indicators in most cases.
A survey of leakage reduction techniques in CMOS digital circuits for nanoscale regime

ABSTRACT The battery-driven portable systems are the lifeline of the modern era. Very large-scale integration (VLSI) designers are continuously working to enhance the performance of the portable systems. The small size, fast response and high battery back-up are the prime factors for the portable systems. Scaling down of the metal oxide semiconductor field effect transistor (MOSFET) dimensions is mandatory to design the low size systems. The power supply and the threshold voltage must be scaled-down with each new technology node in order to maintain the performance of the devices. The scaling down of the threshold voltage of the device produces leakage current. The amount of the leakage current is large at integration level and harms the characteristics of the systems. Therefore, leakage current mitigation is needed especially at lower technology nodes to boost the battery back-up of the portable systems. Number of leakage reduction techniques are available at different abstraction levels. In this review paper, a systematic flow of the low power VLSI field is explored with the target of the different existing circuit level leakage reduction techniques. NAND3 gate is designed and simulated at 16 nm technology node by using the different existing leakage reduction techniques for the comparison purpose.
Enhancing the Output of Climate Models: A Weather Generator for Climate Change Impact Studies

Evaluation of effects of climate change on climate variable extremes is a key topic in civil and structural engineering, strongly affecting adaptation strategy for resilience. Appropriate procedures to assess the evolution over time of climatic actions are needed to deal with the inherent uncertainty of climate projections, also in view of providing more sound and robust predictions at the local scale. In this paper, an ad hoc weather generator is presented that is able to provide a quantification of climate model inherent uncertainties. Similar to other weather generators, the proposed algorithm allows the virtualization of the climatic data projection process, overcoming the usual limitations due to the restricted number of available climate model runs, requiring huge computational time. However, differently from other weather generation procedures, this new tool directly samples from the output of Regional Climate Models (RCMs), avoiding the introduction of additional hypotheses about the stochastic properties of the distributions of climate variables. Analyzing the ensemble of so-generated series, future changes of climatic actions can be assessed, and the associated uncertainties duly estimated, as a function of considered greenhouse gases emission scenarios. The efficiency of the proposed weather generator is discussed evaluating performance metrics and referring to a relevant case study: the evaluation of extremes of minimum and maximum temperature, precipitation, and ground snow load in a central Eastern region of Italy, which is part of the Mediterranean climatic zone. Starting from the model ensemble of six RCMs, factors of change uncertainty maps for the investigated region are derived concerning extreme daily temperatures, daily precipitation, and ground snow loads, underlying the potentialities of the proposed approach.
Uma revisão sistemática da literatura: análise sobre desigualdade estrutural em decorrência de casos de dengue e sua influência no cenário brasileiro

No tempo atual, a grande incidência de dengue tem relação com a desigualdade estrutural e da falta de saneamento básico encontrados em vários ambientes precários, na qual residem famílias em situações suscetíveis. Este trabalho tem como objetivo analisar a ocorrência de casos por dengue no período de 2015 a 2020, assim como determinar uma associação de como os fatores socioeconômicos como moradias inadequadas, renda mínima, aglomerações de famílias, densidades domiciliar e a inexistência de saneamento básico, têm potencial de influir na propagação da doença. Este estudo teve como finalidade expor uma revisão sistemática de trabalhos acadêmicos, anteriormente publicados sobre o enfoque da dengue na vida das pessoas e o perigo que o mesmo oferece à população. Os resultados encontrados apresentaram incidência positiva na correlação com os fatores sociais citados, favorecendo assim a proliferação do Aedes aegypti.
Effects of Visual Information and Argument Concreteness on Purchase Intention of Consumers Towards Online Hotel Booking

Online consumer reviews impact the traveller’s decision to book hotel online. The study examines the role of visual information and argument concreteness on the credibility of reviews and consequently on purchase intention. The study examines the effect of trust and perceived risk as mediators on the relationship of review credibility and purchase intention. An online survey was conducted on 310 travellers above 18 years. The data was analysed using PLS-SEM. Travellers believed visual information and argument concreteness of review enhances the review credibility. Traveller’s purchase intentions were influenced by the credibility of reviews. This relationship was partially mediated by trust but not by perceived risk. The research suggests that the elaborate travel reviews with visual elements that describe the location and surroundings of the hotel are considered to be more credible and develop a positive intention towards booking the hotel.
Cardiac Stroke Prediction Framework using Hybrid Optimization Algorithm under DNN

Heart weakness and restricted blood flow into the cavities can cause a range of strokes from mild to severe Heart strokes are primary caused due to the fat deposited on artery walls. The process reduces the intake of blood and internally causes a pseudo vacuum of air bubbles leading to a stroke which can be identified with high-end instrumentations. In this article, a detailed evaluation is processed with a Hybrid Optimization Algorithm (HOA). In the proposed technique, data are preprocessed using a label encoder and the missing values of the dataset are filled. Whale Optimization Algorithm (WOA) and Crow Search Algorithm(CSA) extract inter-connected patterns and learning features using a dedicated Deep Neural Networking (DNN) support. The proposed Hybrid Optimization Algorithm extracts features and the resultant values demonstrate a high accuracy range of 97.34%.
Trauma Registry Data as a Policy-Making Tool: A Systematic Review on the Research Dimensions

Objective: To review the research dimensions of trauma registry data on health policy making. Methods: PubMed and EMBASE were searched until July 2020. Keywords were used on the search process included Trauma, Injury, Registry and Research, which were searched by using appropriate search strategies. The included articles had to: 1. be extracted from data related to trauma registries; 2- be written in English; 3- define a time period and a patient population; 4- preferably have more details and policy recommendations; and 5- preferably have a discussion on how to improve diagnosis and treatment. The results obtained from the included studies were qualitatively analyzed using thematic synthesis and comparative tables. Results: In the primary round of search, 19559 studies were retrieved. According to PRISMA statement and also performing quality appraisal process, 30 studies were included in the final phase of analysis. In the final papers’ synthesis, 14 main research domains were extracted and classified in terms of the policy implication and research priority. The domains with the highest frequency were “The relationship between trauma registry data and hospital care protocols for trauma patients” and “The causes of Disability Adjusted Life Years (DALYs) due to trauma”. Conclusion: Using trauma registry data as a tool for policy-making could be helpful in several ways, namely increasing the quality of patient care, preventing injuries and decreasing their number, figuring out the details of socioeconomic status effects, and improving the quality of researches in practical ways. Also, follow-up of patients after trauma surgery as one of the positive effects of the trauma registry can be the focus of attention of policy-making bodies.
A family of AC amplifiers for ultra‐low frequency operation

A family of capacitively coupled alternating current (AC) amplifiers featuring ultra‐low (below 1 Hz) corner frequency is presented. This is achieved by using high‐gain devices which actively boost feedback resistance and thus reduce corner frequency. This procedure is often termed, though with a different purpose, as “bootstrapping. ” The proposed architectures are very general and admit several possible practical implementations. To demonstrate their usefulness, the circuits are implemented with two operational amplifiers (OA), but other active devices such as operational transconductance amplifiers (OTAs) can be alternatively used. All circuits have been theoretically analyzed, extensively simulated and measured, exhibiting high‐pass cutoff frequencies as low as 30 mHz.