Miracle-dz/UniFAR-FTUs huggingface dataset:
MaRLI: Attack on the Discrete-Phase WISL Minimization Problem

To facilitate target localization, active radar signals or sequences are designed to have low auto-correlation. This goal is typically achieved by the minimization of the auto-correlation integrated sidelobe level (ISL) metric, or the more general, weighted version of the ISL, known as the WISL metric. In this paper, we introduce two problem formulations to address <italic>unimodular quartic program</italic>, which arises in numerous applications, with WISL minimization being one of them. The first approach is almost equivalent, while the second scheme utilizes a bi-quadratic formulation, both of which simplify the main problem to a quadratic program. We propose efficient approaches to WISL minimization for unimodular sequence design that take advantage of the low-cost and easily implementable <italic>power method-like iterations</italic> (PMLI). Moreover, to design the discrete-phase unimodular sequences with low WISL, the <inline-formula><tex-math notation="LaTeX">$M$</tex-math></inline-formula>-<italic>a</italic>ry unimodular sequence design via <italic>R</italic>elaxed PM<italic>LI</italic> (MaRLI) is proposed by changing and adopting the PMLI approach to tackle this challenging problem. Several numerical results and comparisons between MaRLI and other well-known sequence design algorithms are presented to illustrate the effectiveness of the proposed method. As we show, MaRLI appears to achieve a better suppression of the finite-alphabet autocorrelation levels compared to the state-of-the-art alternatives.
Understanding the Determinants of Sweet Liking in the African and East Asian Ancestry Groups in the U.S. – A Study Protocol

Background The liking for sweet taste is a powerful driver for consuming added sugars, and therefore, understanding how sweet liking is formed is a critical step in devising strategies to lower added sugars consumption. However, current research on the influence of genetic and environmental factors on sweet liking is mostly based on research conducted with individuals of European ancestry. Whether these results can be generalized to people of other ancestry groups warrants investigation. Methods We will determine the differences in allele frequencies in sweet-related genetic variants and their effects on sweet liking in 426 adults of either African or East Asian ancestry, who have the highest and lowest average added sugars intake, respectively, among ancestry groups in the U.S. We will collect information on participants’ sweet-liking phenotype, added sugars intake (sweetness exposure), anthropometric measures, place-of-birth, and for immigrants, duration of time living in the U.S. and age when immigrated. Ancestry-specific polygenic scores of sweet liking will be computed based on the effect sizes of the sweet-related genetic variants on the sweet-liking phenotype for each ancestry group. The predictive validity of the polygenic scores will be tested using individuals of African and East Asian ancestry from the UK Biobank. We will also compare sweet liking between U.S.-born individuals and immigrants within each ancestry group to test whether differences in environmental sweetness exposure during childhood affect sweet liking in adulthood. Discussion Expanding genetic research on taste to individuals from ancestry groups traditionally underrepresented in such research is consistent with equity goals in sensory and nutrition science. Findings from this study will help in the development of a more personalized nutrition approach for diverse populations. Trial registration: This protocol has been preregistered with the Center for Open Science (https://doi.org/10.17605/OSF.IO/WPR9E) and is approved by the City University of New York Human Research Protection Program (IRB#: 2023–0064-Brooklyn).
Early Miocene Cyclostratigraphy and Sea-Level Changes from the Pearl River Mouth Basin, South China Sea*

The Pearl River Mouth Basin is situated at offshore shelf of northern part of South China Sea. Recent hydrocarbon exploration indicates that the basin is extremely rich in hydrocarbon resources. However, stratigraphic correlation of the subsurface successions has long been disputed due to absence of their counterparts at outcrop exposures. To improve the stratigraphic resolution for hydrocarbon prospecting and exploration in the basin, this study attempts to undertake detailed cyclostratigraphical analysis of the lower Miocene succession, including: 1) to determine the dominant frequencies of high-frequency cycles based on gamma-ray well-logging data, 2) to test whether Milankovitch orbital signals are registered in the rhythmic succession, 3) to estimate the duration and the net accumulation rate of sequences, 4) to identify and characterize the depositional responses to global and local sea-level changes in a mixed carbonate and siliciclastic setting. A spectral analysis will be carried out in these wells using the Fourier transform algorithm approach. Our study indicates that three spatial periods exist in the lower Miocene successions. They vary vertically in the boreholes, but cycle ratios are stable and similar to orbital cycle ratios (i.e., Milankovitch cycles). These three periods correspond to eccentricity, obliquity, and precession, respectively. Since the duration of these orbital cycles are known, depth intervals in the studied wells were converted into time intervals (duration) to establish high-resolution astrochronologic time scales which agree with established biostratigraphic chronology and the International Stratigraphic Chart. The net accumulation rate was generated after calculating the decompaction thickness with regional experienced algorithm. The Miocene sea-level change curves were reconstructed based on integration of biostratigraphic study of relative abundance of planktonic foraminifera and ratio of planktonic/benthic foraminifera, sedimentary facies, astrochronologic, and sequence stratigraphic analyses. At third-order sequence scale, the relative sea-level change curves during the early Miocene in the studied area appear to be similar trends to the global eustatic curves (Haq et al., 1987); both have five 3rd-order rise-fall cycles. However, at higher-order cycle scale, the direction and amplitudes of rise/fall change curves are different from their global equivalents. This disparity may be due to local or regional tectonism.
Comprehensive Overview of Power Electronics Intensive Solutions for High-Voltage Pulse Generators

With the advancements in power semiconductors and converters, power electronics based high-voltage pulse generators (HVPG) have emerged due to their advantages of high repetition rate, flexible control, long lifetime, and compact size. However, there is a lack of comprehensive literature review on recent advances in power electronics intensive HVPG technologies. To fill this gap, we present a systematic review on HVPGs. First, HVPGs are classified into different types based on their mechanisms. Each type along with its basic circuits and modifications are introduced. Then, the characteristics, advantages, and disadvantages of these topologies are summarized. Furthermore, the potential applications of HVPGs are explored. The performance of pulse generators mentioned in the literature and commercial products is listed. Finally, future trends and technical challenges in HVPG design and development are discussed. This paper provides a clear understanding of HVPGs and the inspiration of topologies developments to meet the specific requirements. Current state and potential future directions are discussed and summarized to facilitate evolvements in HVPG technology.
Assessing the Disparities Between Strategic Human Resource Management and Conventional Human Resource Management: A Theory-Based Review

Human resource management (HRM) is frequently considered an academic concept that is predominantly concerned with the employees of an organization. HRM generally provides personnel management for the organization by conducting a strategic decision-making function that can make or break the organization’s performance. However, today, Human Resources (HR) in modern organizations are constantly changing due to emerging technologies and the economy, which changed conventional HR practices. This study will thus assess the disparities between strategic and conventional HR management to assure the long-term viability of organizational performance based on the current literature. It is specifically based on current literature on strategic HRM practices and the evolution of strategic HR practices from conventional HR activities that impact organizational performance. The literature search was conducted based on articles published from 2014 to 2021. The findings emphasize the importance of integrating strategic HR practices into corporate settings because strategic HR practices allow us to move standard HRM practices in the face of rapid technological and economic developments. Keywords: Human Resource Management (HRM), strategic HRM, conventional HRM
Tecnologias educacionais utilizadas para promoção do autocuidado de pessoas com diabetes mellitus: revisão integrativa

ABSTRACT Objective: To summarize the scientific productions that used educational technologies to promote self-care for people with diabetes. Method: Integrative review carried out from October 2022 to January 2023, in the databases: LILACS; Scopus; Embase; PubMed/MEDLINE and CINAHL. The search was paired, and the sample consisted of ten articles. The levels of evidence were analyzed by the Hierarchy of Evidence for Intervention Studies, and the results were synthesized for interpretation of the findings. Results: The educational technologies identified to promote self-care were: mobile applications, interactive platforms, print, telemonitoring, video and simulation. The focus of the contents was on the promotion of foot care, prevention of neuropathy, self-management, knowledge, and expectation of people with diabetes and prevention of acute complications. Conclusion: The synthesis of knowledge about educational technologies to promote self-care for people with diabetes pointed to the need for robust evidence.
Risk Factors for Non-Communicable Diseases among Bangladeshi Adults: An Application of Generalized Linear Mixed Model on Multilevel Demographic and Health Survey Data

Abstract Objective: The research effort addresses the impact of non-communicable diseases (NCDs), particularly diabetes mellitus (DM) and hypertension (HTN), on Bangladesh, a lower-middle-income country. Due to their higher incidences and associated risks, DM and HTN present substantial concerns. The paper clarifies the need for specific public health initiatives and emphasizes the socioeconomic and lifestyle-related factors of NCDs. Methods: A mixed-model technique is employed to conduct a multivariate analysis of the cross sectional data from the Bangladesh Demographic and Health Survey (BDHS) 2017-18, with the aim of identifying possible risk factors. We have two outcome variables under consideration in the study, namely Diabetes, and Hypertension, each having binary categories. The adjusted odds ratios (AORs) in addition to their corresponding p-values and 95% confidence intervals (CIs) to assess and evaluate the relative strength of covariates. Results: Those with hypertension have a 28% (OR = 1.28, 95% CI: 1.14, 1.43) higher risk of developing diabetes. Likewise, individuals with diabetes have a 24% (OR = 1.24, 95% CI: 1.11, 1.39) increased probability of developing hypertension. People over 40 years old are 66.4% more likely to have diabetes. Also, rich people are more likely to be diabetic and hypertensive. Conclusion: The prevalence of diabetes is significantly elevated among individuals aged 40 years and older, particularly among those who have hypertension, are overweight, and possess a higher socioeconomic status. In contrast, there is a notable increase in the likelihood of developing hypertension among male individuals who are diabetic, above the age of 40, who already have hypertension, are overweight and have a higher socioeconomic class. There is a good chance that presenting these risk factors to policymakers could contribute to the amelioration of the NCDs crisis in Bangladesh. Keywords: Non-communicable diseases, Diabetes, Hypertension, Mixed model, BDHS 2017-18, Age, Overweight, Rich
Understanding the fine-scale heterogeneity and spatial drivers of malaria transmission in Kenya using model-based geostatistical methods

Malaria remains a public health concern. Monitoring the fine-scale heterogeneity of the malaria burden enables more targeted control efforts. Although malaria indicator surveys (MIS) have been crucial in evaluating the progress of malaria control interventions, they are only designed to provide a cross-sectional national and regional malaria disease burden. Recent advances in geostatistical methods allow us to interpolate national survey data to describe subnational disease burden that is crucial in informing targeted control. A binomial geostatistical model employing Markov chain Monte Carlo (MCMC) parameter estimation methods is used to understand the spatial drivers of malaria risk in Kenya and to predict malaria risk at a fine-scale resolution, including identifying hotspots. A total of 11,549 children aged six months to 14 years from 207 clusters were sampled in this survey and used in the present analysis. The national malaria prevalence based on the data was 8.4%, with the highest in the lake endemic zone (18.1%) and the lowest in the low-risk zone (<1%). The analysis shows that elevation, proportion of insectcide treated net (ITN) distributed, rainfall, temperature and urbanization covariates are all significant predictors of malaria transmission. The 5x5 Km resolution maps show that malaria is heterogeneous in Kenya, with hotspot areas in the lake endemic area, the coastal areas, and some parts of the shores of Lake Turkana and Kajiado. The high-resolution malaria prevalence maps produced as part of the analysis have shown that Kenya has additional malaria hotspots, especially in areas least expected. These findings call for a rethinking of malaria burden classification in some regions for effective planning, implementation, resource mobilization, monitoring, and evaluation of malaria interventions in the country.
Behavioral health outcomes and social determinants of health in children with diabetes and juvenile arthritis

Objective: Children with chronic illnesses, including arthritis, are at increased risk for adverse psychosocial outcomes influenced by social determinants of health (SDOH). Comparing psychosocial outcomes in families affected by juvenile arthritis compared to other chronic illnesses may help identify areas in need of special attention vs areas that may be addressed through adopting other disease examples’ care models. We examined child and parent behavioral health outcomes for families with juvenile arthritis compared to diabetes, accounting for SDOH. Methods Secondary data analysis of the National Survey of Children’s Health including 365 children (<18yrs) with arthritis and 571 children with diabetes. Psychosocial outcomes were depression, anxiety, ADHD, physical pain, behavioral problems, and treatment for mental health. School outcomes were school engagement, school absence, involvement in clubs/organization, and involvement in organized activities. Parent outcomes were family resilience, emotional support, coping with daily demands of raising a child, job change due to problems with childcare, and parent mental health. SDOH variables were food insecurity, food/cash assistance, unsafe neighborhood, detracting neighborhood elements, parent education, households earning <100% of the federal poverty line. Logistic regression analyses were utilized to examine variation in child and parent outcomes, variation in SDOH, and the role of SDOH. Results Children with arthritis experienced significantly more physical pain, anxiety, depression, ADHD, and behavior problems compared to children with diabetes. Children with arthritis were more likely to see a mental health professional and get treatment for problems with emotions/behaviors. When considering SDOH, children with arthritis were still more likely to experience adverse psychosocial outcomes but were no longer more likely to get treatment. Children with arthritis had increased likelihood of school absence and were less involved in organized activities than children with diabetes. Parents of children with arthritis had poorer mental health than parents of children with diabetes. SDOH were more prevalent in children with arthritis than children with diabetes. Conclusions Increased risk for adverse psychosocial outcomes in youth with arthritis compared to youth with diabetes indicates a need to mirror endocrinology models of care in rheumatology clinics. The role of SDOH highlights the need for regular SDOH screening in clinic.
Anti-Racist Pedagogy as Activism: Cultivating Radical Healing and Liberation among Asian American Counseling and Psychology Students

Abstract The links between experiences of discrimination and mental health consequences have been well established among Asian Americans. Since the pandemic, anti-Asian racism and xenophobia surged, and the negative outcomes can be severe and long-lasting. Asian American mental health professionals can play an important role in addressing the mental health needs in the Asian American community. Feminist psychologists have long criticized the oppressive nature of traditional Western mental health practices. Strategies to promote liberation and radical healing among Asian American students are especially needed, given the challenges exacerbated by the COVID-19 pandemic and the fact that their needs are often overlooked due to the model-minority stereotype. This article offers critical consciousness–informed pedagogy as a form of anti-racist feminist practice to cultivate radical healing and liberation for Asian American students. Anti-racist teaching strategies include: modeling by counseling and psychology educators, challenging internalized oppression and teaching accurate history, building community and collectivism, cultivating solidarity with other communities, and supporting student activism.
UvA-DARE ( Digital Academic Repository ) Delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage : the role of coagulation and fibrinolysis

Background and purpose In patients with aneurysmal subarachnoid hemorrhage (SAH) hyperglycemia, hypertension, and endothelium dysfunction are associated with the occurrence of delayed cerebral ischemia (DCI). Since these are physiological reactions of increased cortisol secretion, the purpose of the present study was to investigate whether increased serum cortisol levels after SAH are associated with the occurrence of DCI. Methods Blood samples were obtained at standard intervals after SAH. DCI was defined as the gradual onset of new focal neurological impairment and/or a decreased level of consciousness of at least 2 points as recorded on the Glasgow Coma Scale. Results Thirty-one patients were included. Eleven patients (35%) developed DCI. Patients with DCI had a significantly higher median cortisol level two days after SAH than patients without DCI (1026 nmol/l [range 408-1280 nmol/l] vs. 716 nmol/l [range 50-1164 nmol/l] respectively, p=0.006). The logistic model revealed a significant (p=0.021) univariate association between the first cortisol assessment and DCI occurrence. An increase of 250 nmol/l in early cortisol level was associated with a 2.42 (95% CI 1.14–5.14) times increased odds on DCI occurrence. The association remained significant after adjusting (in separate models) for the known predictors of DCI occurrence (amount of blood on admission CT scan using the Hijdra score, loss of consciousness during ictus, and admission GCS). Conclusions Increased serum cortisol levels early after SAH are associated with DCI occurrence, and therefore can be a useful risk indicator in clinical practice. vergouwen.indb 46 16-4-2009 10:53:05 47 Cortisol levels are associated with DCI
INVOLVEMENT OF CELEBRITIES IN YOUTH PROGRAMS: A CASE STUDY OF THE ENTERTAINMENT-EDUCATION APPROACH AT THE MINISTRY OF YOUTH AND SPORTS OF THE REPUBLIC OF INDONESIA

Indonesian youth can potentially be agents of change but also as a development problem. This article looks at the potential youth have to overcome the problems young people face. The Ministry of Youth and Sports of the Republic of Indonesia has a communication strategy. Development of communication is carried out by implementing an entertainment-education (EE) approach to youth empowerment. Entertainment education in youth development by the Ministry of Youth through a popular culture approach invites celebrities. The method used is directly observing youth programs and activities from a literature study. Entertainment Education, or the edutainment approach, combines participatory communication strategies and the diffusion communication model. The results of the EE approach involving celebrities gain broader and greater access to information and youth involvement. EE, as a model of social and behavioral change, has been proven to turn young people into agents of change.
Direct-seeded tropical soil systems with permanent soil cover : Learning from Brazilian experience

CONTENTS 22.1 The Rain Forest as a Model for Agricultural Systems 325 22.2 Two Basic Concepts for Soil System Management: Plants as Nutrient Pumps, and the Multifunctionality of Cover Crops 326 22.2.1 Aboveground 327 22.2.1.1 Total and Permanent Protection of the Soil Surface 327 22.2.1.2 Increasing Water Supplies Available for Crops 327 22.2.1.3 Nutritional Improvements for the Main Crop 327 22.2.1.4 Weed Control 327 22.2.2 Belowground 327 22.2.2.1 Aggregating the Soil 327 22.2.2. 2 Restructuring Soil through the Aggregation Activities of Crop Root Systems 327 22.2.2.3 Tapping Deep Groundwater 327 22.2.2.4 Recycling of Nutrients Leached to Deep Soil Horizons . 328 22.2.2.5 Fertility Mobilizing Capacity 328 22.2.2.6 Development of High Levels of Biological Activity 328 22.2.2.7 Using Detoxification Potential for Bioremediation Against Polluting Pesticide Compounds 328 22.3 Selection and Use of Plant Species to Enhance Soil System Performance 328 22.4 Review of Alternative Crop Species 329 22.5 Development of Cropping Systems for the Cerrados in Brazil: Adaptation of Direct Planting Systems to Humid Tropical Climates 332 22.6 The Evolution of Crop Productivity in Mato Grosso, Brazil 334 22.6. 1 Soybean 334 22.6. 2 Rice 335 22.6. 3 Overall Production 335 22.7 Soil Functioning and the Impacts of Direct Seeding with Permanent Soil Cover in Mato Grosso 335 22.8 Development of Direct-Seeded Systems for Semiarid Tropics 336 22.8. 1 Southwestern Madagascar 336
Generative-Adversarial-Based Feature Compensation to Predict Quality of Service

Predicting quality of service (QoS) is an important issue in the field of service recommendation that has been widely studied in the past few years. Many current methods predict QoS values based on the historical invocation records of services, but most of them ignore the time-varying characteristics of these values. Capturing time-varying characteristics to ensure accurate prediction of QoS values has become a key problem in the area. To solve this problem, in this article, we first apply probabilistic matrix factorization in QoS time series of sparse QoS matrices to extract time-varying feature series of users and services. Then we construct a gated feature extraction network (GFEN) to compensate for feature loss due to matrix factorization and enrich the limited information due to the sparsity of QoS matrices, where the heart of GFEN is an enhanced gated recurrent unit (EGRU) and a generative adversarial network is proposed to train GFEN. Extensive experimental results show that the proposed model outperforms state-of-the-art methods in terms of QoS prediction accuracy.