Miracle-dz/UniFAR-FTUs huggingface dataset:
Covering Number of Real Algebraic Varieties: Improved Bound and Applications

We prove an upper bound on the covering number of real algebraic varieties, images of polynomial maps and semialgebraic sets. The bound remarkably improves the best known bound by [67], and its proof is much more straightforward. As a consequence, our result gives a bound on volume of the tubular neighborhood of a real variety, improving the results by [43] and [5]. We apply our theory to three main application domains. Firstly, we derive a near-optimal bound on the covering number of low rank CP tensors. Secondly, we prove a bound on the sketching dimension for (general) polynomial optimization problems. Lastly, we deduce generalization error bounds for deep neural networks with rational or ReLU activations, improving or matching the best known results in the literature
Geology of Santiago, Rábida, and Pinzón Islands, Galápagos

Santiago, Pinzon, and Rabida Islands are each single volcanoes that lie along a north-trending line near the center of the Galapagos Archipelago. The core volcano of Santiago Island and its flanking lava fields are composed of basaltic to intermediate lava of alkalic parentage. The smaller islands of Rabida and Pinzon are constructed of tholeiitic lava and tuff, ranging in composition from basalt to siliceous trachyte. On each of these two islands, products of eruptive cycles are preserved as tuff-flow sequences of decreasing degree of differentiation and increasing phenocryst abundance up-section, possibly a consequence of tapping successively deeper levels of compositionally zoned magma chambers. Island age generally increases to the south away from the Galapagos rift. Volcanic activity on Santiago spanned most of the past 0.7 m.y. K-Ar ages of rocks exposed on Rabida range from about 1.0 to 0.7 m.y. ; those on Pinzon are approximately 1.2 to 0.8 m.y. in age. A part of the tectonic history of the central and southeastern Galapagos Islands is recorded in conspicuous, east-trending alignments of volcanic vents on Santiago and parallel normal faults and some aligned vents on six other islands to the southeast. The central islands among this group are also characterized by uplifted submarine rocks. On the basis of geological and geophysical observations, we hypothesize that this uplift, north-south distention, and associated volcanism may have resulted when an east-trending curtain of mantle upwelled beneath the center of the archipelago during the past 0.5 m.y. The east-trending tectonic pattern appears to be superimposed on the older northwest and northeast trends that have been cited for the entire island group.
The Missing Piece: A Population Health Perspective to Address the U.S. Mental Health Crisis

Abstract The COVID-19 pandemic has enhanced our focus on mental health. Concerns about the high levels of mental disorders in the United States are not new, with rising trends-particularly among youth-observed prior to the pandemic. However, the pandemic may have exacerbated and accelerated these trends. The silver lining is that we can leverage this moment to reevaluate and reimagine not only how we treat mental health problems, but also how we promote emotional well-being throughout the life course. We argue that scholars, policymakers, and practitioners should broaden their view of mental health, and consider it as a full spectrum ranging from serious mental illness to robust emotional well-being. This perspective recognizes the importance of treatment access and quality, but also elevates the value of prevention, particularly at the population level. Greater attention to preventing problems before they occur will not only reduce manifest disorders but also encourage higher rates of psychological resilience and, ultimately, better physical health.
I E E E P r o o f

—In this article, a novel continuous modulation scheme Q1Q2 6 with variable-dc-offset (CMS-VDO) is proposed for a single-phase 7 differential-mode inverter (DMI). The output voltage of the DMI 8 is the difference in output voltages of two differentially connected 9 dc–dc converters. CMS-VDO is so designed that the output voltage 10 of the individual dc/dc converter is reduced without affecting the 11 outputvoltageoftheDMI.Thisreducedvoltageyieldsreductionsin 12 circulating current, peak switch voltage, total harmonic distortion, 13 and improved efﬁciency compared to conventional modulation 14 scheme with ﬁxed dc offset (CMS-FDO). The experimental results 15 compare and validate the improved inverter performance using 16 CMS-VDO over CMS-FDO.
Influence of the DASH Diet on Gestational Weight Gain and Perinatal Outcomes in Women with Pre-Existing Diabetes Mellitus: A Randomized, Single-Blind, Controlled Clinical Trial

Background: This study aimed to investigate the influence of the dietary approaches to stop hypertension (DASH) diet on gestational weight gain and perinatal outcomes in pregnant women with pre-existing diabetes mellitus (PDM). Methods: A randomized, single-blind, controlled clinical trial was conducted with 68 pregnant women with PDM throughout prenatal care until delivery (18 weeks) at a public maternity hospital in Rio de Janeiro, Brazil (2016–2020). The standard diet adopted by the control group (standard diet group—SDG) contained 45–55% carbohydrates, 15–20% protein, and 25–30% lipids of the total energy intake. An adapted DASH diet, with a similar macronutrient composition, but with higher calcium, potassium, magnesium, fiber, and reduced saturated fat, was prescribed for the intervention group (DASH diet group—DDG). Student’s t- or Mann–Whitney U tests were used to compare outcomes between groups. To assess the trajectory of gestational weight gain throughout the intervention between the study groups, linear mixed-effects regression models were used. Results: The DDG had lower gestational weight gain at the fifth (p = 0.03) and seventh appointment (p = 0.04), with no difference in average total gestational weight gain (SDG: 10 kg [SD = 4]; DDG: 9 kg [SD = 5], p = 0.23). There was a trend for a lower length of stay of the newborns (p = 0.08) in the DDG without differences for other perinatal outcomes. Conclusions: The DASH diet promoted less variation in gestational weight gain without promoting a difference in total gestational weight gain, and there was no difference between the study groups for perinatal outcomes.
Understanding the Role of Electronic E ﬀ ects in CO on the Pt − Sn Alloy Surface via Band Structure Measurements

: Using angle-resolved photoemission spectroscopy, we show direct evidence for charge transfer between adsorbed molecules and metal substrates, i.e., chemisorption of CO on Pt(111) and Pt − Sn/Pt(111) 2 × 2 surfaces. The observed band structures show a unique signature of charge transfer as CO atoms are adsorbed, revealing the roles of speci ﬁ c orbital characters participating in the chemisorption process. As the coverage of CO increases, the degree of charge transfer between CO and Pt shows a clear di ﬀ erence to that of Pt − Sn. With comparison to density functional theory calculation results, the observed distinct features in the band structure are interpreted as back-donation bonding states formed between the Pt molecular orbital and the 2 π orbital of CO. Furthermore, the change in the surface charge concentration, measured from the Fermi surface area, shows that the Pt surface has a larger charge concentration change than the Pt − Sn surface upon CO adsorption. The di ﬀ erences between Pt and Pt − Sn surfaces are due to the e ﬀ ect of Pt − Sn intermetallic bonding on the interaction of CO with the surface.
A multi-scalar character of droughts based on the SPEI in the Republic of Moldova

This study presents a detailed assessment on drought characteristics in a multi-scalar way based on the Standardized Precipitation Evapotranspiration (SPEI) in the Republic of Moldova. This study combined two SPEI datasets: (1) the global 0.5°gridded the SPEI dataset at time scales between 1 and 48 months from December 1950 to May 2013 over Moldova domain (45.01oN-49.01oN; 26.52oE-30.48oE) obtained from the SPEIbase and (2) the Chisinau climatological station as a representative station with relatively long continuous series (1945-2011) in the Republic of Moldova. The SPEIbase is based on the FAO-56 Penman-Monteith estimation of potential evapotranspiration from CRU with spatial resolution of 0.5olat x 0.5olon. The SPEI at climatological station is based on Hargreaves estimation of potential evapotranspiration (the minimum and maximum air temperature and extraterrestrial radiation). For all the time scales of the SPEI calculation during the warm season of the year (April to September), the longest duration and highest severity was occurring during the 1950s, 1960s and 2000s. These periods correspond to highest temperature and lower precipitation anomalies (i.e. more than 2.5°C associated with precipitation anomalies up to 60% below normal).
RESEARCH Teaching Communication Skills to Medical and Pharmacy Students Through a Blended Learning Course

Objective. To evaluate the impact of an interprofessional blended learning course on medical and pharmacy students’ patient-centered interpersonal communication skills and to compare precourse and postcourse communication skills across ﬁrst-year medical and second-year pharmacy student cohorts. Methods. Students completed ten 1-hour online modules and participated in ﬁve 3-hour group sessions over one semester. Objective structured clinical examinations (OSCEs) were administered before and after the course and were evaluated using the validated Common Ground Instrument. Nonparametric statistical tests were used to examine pre/postcourse domain scores within and across professions. Results. Performance in all communication skill domains increased signiﬁcantly for all students. No additional signiﬁcant pre/postcourse differences were noted across disciplines. Conclusion. Students’ patient-centered interpersonal communication skills improved across multiple domains using a blended learning educational platform. Interview abilities were embodied similarly between medical and pharmacy students postcourse, suggesting both groups respond well to this form of instruction.
Unimodalities Count as Perspectives in Multimodal Emotion Annotation

Most datasets for multimodal emotion recognition only have one emotion annotation for all the modalities combined, which serves as a gold standard for single modalities. This procedure ignores, however, the fact that each modality constitutes a unique perspective that contains its own clues. Moreover, as in unimodal emotion analysis, the perspectives of annotators can also diverge in a multimodal setup. In this paper, we therefore propose to annotate each modality independently and to more closely investigate how perspectives between modalities and annotators diverge. Moreover, we also explore the role of annotator training on perspectivism. We find that for the different unimodal levels, the annotations made on text resemble most closely those of the multimodal setup. Furthermore, we see that annotator training has a positive influence on the annotator agreement in modalities with lower agreement scores, but it also reduces the variety of perspectives. We therefore suggest that a moderate training which still values the individual perspectives of annotators might be beneficial before starting annotations. Finally, we observe that negative sentiment and emotions tend to be annotated more inconsistently across the different modality setups.
Dynamical complexity of a predator-prey model with a prey refuge Dynamical complexity of a predator-prey model with a prey refuge and Allee effect and Allee effect

: We consider a predator-prey model with a non-monotonic functional response encompassing a prey refuge and a strong Allee effect on the prey. The multiple existence and stability of interior equilibria are investigated. The bifurcation analysis shows this model can exhibit numerous kinds of bifurcations (e.g., saddle-node, Hopf-Andronov and Bogdanov-Takens bifurcations). It is found that there exist diverse parameter values for which the model exhibits a limit cycle, a homoclinic orbit, and even many heteroclinic curves. The results obtained reveal the prey refuge in the model brings rich dynamics and makes the system more sensitive to parameter values. The main purpose of the present work is to offer a complete mathematical analysis of the effect that the refuge brings about.
Assessment the Anxiety Level Among Women Who Undergoing Mammogram Screening

: Breast cancer is the leading cause of death among women around the world. the evidence confirmed that the prognosis of breast cancer depends mainly on the early detection of the disease. Mammography screening is one of the most reliable and effective methods of early detection. One of the main barriers to early detection through screening is the anxiety of breast cancer screening. however, The primary objective of this literature review is to find out the gaps related to the role of anxiety on breast cancer early detection. and the contributing factors that can affect anxiety levels. The purpose of searching the literature is to find out where is known about the research problem ). To find relevant studies, Literature exploration was carried out using different electronic data bases including the Pub Med, Cumulative Index Nursing and Allied Health Literature (CINAHL), Medical Literature On Line (Medline), The Exerpta Medical Data base (EMBASE), and Google Scholar. The search by entering a word or phrase that captures the key concepts in the articles was applied .
Guided Flash Lidar: A Laser Power Efficient Approach for Long-Range Lidar

— Solid-state flash lidar holds the potential for low-cost, scalable depth-sensing in self-driving vehicles. However, the conventional approach of storing and processing all photon arrivals becomes impractical over long (+200 m) distances, and alternative partial histogram solutions offer poor laser power efficiency. We propose a new approach, guided flash lidar, allowing other on-board sensors to narrow down the depth search space for a power-efficient flash lidar solution. We use a SPAD sensor containing 64-by-32 macropixels fabricated in a standard 40 nm CMOS process. Each macropixel is capable of timing and storing photon arrivals into 8 bins within an independently programmable time window to enable guiding. A pair of vision cameras guide each macropixel to a depth window of interest by providing stereo depth estimates. The system is shown to operate outdoors over a distance of 75 m while running at 3 fps. This is a 40-times laser cycle reduction over using a sliding partial histogram approach with the same sensor, and a 25-times data reduction over using a conventional approach. The capability for guided flash lidar to mitigate multipath reflections is also demonstrated by ranging through a glass door.
Tensile performance of high ductile fiber reinforced cementitious composite

The stress-strain relationship and tensile resistance parameters of polyvinyl alcohol(PVA) fiber reinforced cementitious composite were studied experimentally by uni-axial tensile test.The specimens were 150mm×75mm×15mm with different water to cement ratios and fly ash quantities.The test was carried out by using displacement controlled test installation and complete stress-strain curves were obtained.The results show that the stress-strain curve can be divided into three periods: 1.elastic period,in which the strain is linearly proportional to stress;2.strain hardening period,in which cracking occurs and the ratio of stress increment to strain increment is much lower than that in elastic period;3.strain softening period,in which the cracks begin to propagate.The analysis of test data indicates that in the range of mix adopted in this experimental study,the pseudo-strain hardening and multiple cracking performances can be realized.The ultimate tensile strain is 1.7%,and the minimum and maximum crack widths are 26μm and 90μm respectively.
A Burst Mode 20 Mfps Low Noise CMOS Image Sensor

This paper presents an ultra-high-speed CMOS image sensor utilizing charge-sweep transfer gate technology. This technology eliminates the need for advanced process customization and enables total noise reduction by optimizing the pixel conversion gain. We have implemented a test chip with a resolution of 64 (columns) by 64 (rows) in a standard 180 nm process and characterized part of its performance. Our testing results demonstrate agreement with theoretical analysis and simulation in areas such as charge transfer time, conversion gain, and readout noise.
Count-Free Histograms with Race Logic for Single-Photon LiDAR

—Low-power 3D perception is useful in a wide range of computer-vision applications. Thanks to the increasing availability of high-resolution single-photon avalanche diode (SPAD) arrays, single-photon LiDARs (SPLs) have emerged as a promising technology for 3D sensing. The conventional image formation model for an SPL involves capturing the time-varying light intensity— which we call the transient distribution —of a reflected laser pulse in the form of an equi-width (EW) histogram. Unfortunately, this approach leads to unmanageable data rates ( ∼ gigabytes/second) with high-resolution arrays, severely limiting the applicability of SPLs in power-and bandwidth-constrained scenarios (e.g., mobile devices). We propose a radically different approach based on race logic processing to construct equi-depth histograms with variable bin widths. This method avoids storing high-resolution histogram counts, thereby reducing the bandwidth requirement while maintaining similar ranging accuracy. We show simulation results with bandwidth reduction of over 100 × .
Alternative approaches to hypertension

The body’s ability to maintain its blood pressure is vital to life. Chronic hypertension is a major coronary heart disease risk factor. Hypertension contributes to half a million strokes and more than a million heart attacks each year. The higher the blood pressure above the normal 120/80 mmHg, the greater the risk of heart disease. This condition is sometimes referred to as the silent killer, since people usually cannot feel the physical effects of high blood pressure.
Attentional Multi-scale Back Projection Network for Low Bit-rate Image Compression

In this paper, we provide the description of our approach for participating Workshop and Challenge on Learned Image Compression (CLIC) 2021: SRCX DLIC. Our method is an end-to-end network based on variational autoencoder, for which we develop a novel back projection method with attentional and multi-scale feature fusion. Our back projection method recalibrates the current estimation by establishing feedback connections between high-level and low-level attributes in a discriminative and efﬁcient manner. Further, our network recovers the ﬁne spatial details by decomposing the input image and separately processing the distinct frequency components, whose derived latents are recombined using a novel dual attention module, so that details inside regions of interest could be explicitly manipulated. We also describe the training strategies for variable bit-rates and perceptual quality enhancement.
More Crop and Profit per Drop of Water: Drip Irrigation for Empowering Distressed Small Farmers

In the light of the rapid decline in the irrigation water potential and increasing demand for water from different sectors in India, there is a need of the emergence of small-scale irrigation technology to conserve scarce water resources. Drip irrigation is one such technology that has been introduced to reduce water consumption in the agriculture sector, leading to sustainability of this sector. It allows farmers to cultivate crops without moisture stress even under water-scarce conditions, thereby increasing farm productivity. Earlier studies have analyzed the economics of drip irrigation in the case of high-value crops, which are mostly cultivated by rich farmers. Drip irrigation is also suitable for cultivating vegetable crops that are mostly cultivated by small farmers. However, in the Indian context, research on the effectiveness of drip irrigation is rare for these crops. We show that farmers cultivating green chilli could reduce the use of water by about two-thirds and increase productivity by more than half by adopting the drip irrigation method, compared to the same crop cultivated under conventional flood irrigation. The farm profitability too is impressive. The discounted cash flow analysis shows that the investment in drip irrigation for green chilli cultivation is economically viable even without the state subsidy. Despite such favourable outcomes, poor awareness prevailing among small farmers prevents adoption of drip irrigation. We suggest that there is a need to spread the benefits of cultivating vegetable crops under drip irrigation through a quality extension network on a continuous basis through various means. It would curtail the distress of the small farmers as well.
Digital Health Transformation: Leveraging Knowledge Graphs Reasoning Framework and Conversational Agents for Enhanced Knowledge Management

The research focuses on utilizing AI systems, particularly conversational agents (CAs), to optimize information flow procedures within healthcare emergency departments (EDs), especially during peak hours. The authors adopted the Cross Industry Standard Process for Data Mining (CRISP-DM) approach to guide our research into a tailored CRISP-Knowledge Graph (CRISP-KG) methodology. Our approach involves harnessing the power of knowledge graphs (KGs) to construct an intelligent knowledge base (KBs) for conversational agents. This augmentation enhances their reasoning, knowledge management, and context awareness abilities. The development of these robust KBs is facilitated through a collaborative methodology (CM) and the implementation of ontology design patterns to create a formal ontological model. The ultimate objective is to empower conversational agents with intelligent KBs, enabling seamless interaction with end-users and enhancing the quality of care within EDs. Authors leveraged semantic web rule language (SWRL) for inference, utilizing the knowledge graph approach to assist healthcare practitioners and patients in efficiently managing information flow and information provision within EDs. The anticipated outcome is an improvement in care quality and better care outcomes.
Bridging Belief and Social Practice: Connecting the Participatory Dimension of Religious Belief to an Account of Socially Extended Mind

The theory of extended mind has been applied by some to the study of religious cognition. Past efforts have mainly centered around how material culture, like bibles and rosaries, functions in the perspective of extended cognition. In the present paper, I shift focus to unite these works with research on socially extended mind and participatory theory and discuss the additional role of living and nonmaterial culture, including cultural norms, customs, institutions, social ritual, and social others in capturing a full-bodied view of extended religious cognition. I apply these areas of theory to the study of dispositional belief, affective states and processes, and the self and defend their application within this religious context.
DIGITALIZATION AND VALUE CO-CREATION IN THE CONTEXT OF SOCIAL ENTREPRENEURSHIP DIGITALIZÁCIÓ ÉS KÖZÖS ÉRTÉKTEREMTÉS A TÁRSADALMI VÁLLALKOZÁSOK KONTEXTUSÁBAN

S ocial entrepreneurship is the process of finding ways to increase innovations, utilizing resources, and addres - sing social needs to create social value (Wu et al., 2020). Social entrepreneurship is gaining more and more attent - ion from scholars and practitioners. The main aim of so - cial businesses is prosperity and positive change in society (Dacin et al., 2010). Social entrepreneurship is a business venture that might be pointed toward profiting society as opposed to only maximizing individual benefits, and it se - ems to guarantee an altruistic version of capitalism that does not assess all human exercises in business terms (Ro - berts & Woods, 2005). Our contemporary world also