Miracle-dz/UniFAR-FTUs huggingface dataset:
Newborn Screening in Unselected Children Using Genomic Sequencing

Background: The aim of this study is to investigate potentially curable or treatable medical conditions in unselected newborns using genomic sequencing(GS). Methods: 321 newborns from a cohort of pregnant women from Qingdao, China, underwent high-depth GS (average 47.42 fold), with the approval of the ethics committee. 61 Mendelian Diseases, 151 Primary Immunodeficiency Diseases(PID) and 5 DPWG recommeded Essential pharmacogenetic(PGx) genes were analyzed. Results: 121 Mendelian pathogenic or likely pathogenic variants associated with 31 inherited diseases were detected, among these hearing loss, congenital hypothyroidism, methylmalonic acidemia, methylmalonic acidemia with homocystinuria, phenylketonuria(PKU) and benign hyperphenylalaninemia accounted for half of the carrier variants. Three children with compound heterozygous variants at GJB2 and PAH were confirmed by Sanger sequencing. Follow-up of the three families confirmed that one child was diagnosed with PKU and two children with GJB2 variants were scheduled to undergo hearing loss testing every six months after genetic counceling due to the nature of incomplete penetrance of hearing loss. 11 heterozygous pathogenic/ likely pathogenic variants in eight PID genes were identified in 11 infants. All 321 newborns carried at least one variant at the five DPGW recommended PGx genes. Codeine and clopidogrel require more attention in giving prescription for 25% and 8% of newborns have a decreased function of CYP2D6 and CYP2C19 enzymes respectively. Conclusions: Our study is the largest to date using GS to sequence unselected newborns. The results suggest that using GS may be a suitable method for screening newborns for variants in a large number of disease associated genes.
Proteins in Aqueous Electrolyte Solutions: Measurement of Salting-Out Phase Equilibria and Comments on Protein Intermolecular Potentials

Protein salting-out phase equilibria are reported for lysozyme and a. -chymotrypsin in concentrated ammonium sulfate solutions. Supernatant and dense-phase protein concentrations and the resulting protein partition coefficients are reported as a function of solution pH and ionic strength. Phase equilibria with a trivalent salt (sodium citrate) suggest that ionic strength is the appropriate primary variable to describe phase equilibria. For an aqueous mixture containing both lysozyme and a-chymotrypsin, selective precipitation of one protein exhibits phase equilibria similar to those obtained from single-protein measurements. Osmotic second-virial coefficients from low-angle las.er-light scattering (LALLS) are reported over a range of pH for dilute chymotrypsin concentrations in aqueous electrolyte solutions containing potassium sulfate or sodium phosphate at ionic strengths 0.01 M and 1.0 M. Hamaker constants regressed from experimental osmotic second-virial coefficients are used to obtain protein-protein potential-of-mean-force models. In addition to DL VO potentials, protein-protein interactions are modeled using attractive protein-dipole potentials and an osmotic attraction potential that becomes important at high salt concentrations. - Introduction
Automatic Road Extraction From Remote Sensing Imagery Using Ensemble Learning and Postprocessing

High-resolution satellite images contain valuable road semantic information, but the occlusion of vegetation and buildings and the sparse distribution and heterogeneous appearance of roads limit the accuracy of road extraction models. In this article, we propose a novel method for extracting roads using an ensemble learning model with a postprocessing stage. The network weights and biases of our proposed deep learning model are transmitted through the random combination of layers of different submodels during forward and backward propagation. In the gradient descent process, a superior loss function is designed to solve the problem of class imbalance caused by road sparseness, and more attention is given to hard classification samples to extract narrow and covered roads. In addition, we solve road disconnection issues in the results obtained with the neural network by extracting and analyzing the geometric structures and feature points of the roads. Experiments on two challenging datasets of remote sensing imagery show that the proposed method performs better than other models and can extract road information from complex scenes.
“Real men” need keepsakes too: both Italian men and women use inanimate objects to cope with separation

BACKGROUND Using tangible objects to alleviate distress contradicts the traditional masculinity that is stereotypically attributed to Italian men. This study tested whether the willingness to use a photograph of a romantic partner as a substitute for that person and as a cue for nostalgia in the situation of unavoidable separation depends on gender and conformity to the traditional masculine norms of Italian adults. PARTICIPANTS AND PROCEDURE The study involved 119 Italian adults. Participants were randomly assigned to the separation or the connection condition. Next, they described the willingness to use a photograph of their partner as a substitute and as a cue for nostalgia; then we measured men’s differences in their conformity to masculine norms. RESULTS We did not find support for the hypotheses that gender or traditional masculine norms impede using inanimate objects to regulate emotions. CONCLUSIONS It is worth considering photographs as reminders of social bonds that are accessible for both men and women.
Probing the molecular basis of photochemistry and photophysics with vibrational coherence spectroscopy

We present a time-domain impulsive vibrational spectroscopy (IVS) setup capable of recording background- and baseline-free Raman spectra of excited electronic states in condensed-phase molecular systems. The setup records vibrational Raman spectra from 50-3000 cm-1 and is readily extended to follow spectral evolutions with a time resolution of L20 fs, opening up the possibility for multi-dimensional Raman spectroscopy. Based on the setup, we explore a wide range of photochemical reactions aimed at gaining fundamental insights in the chemistry of excited electronic states. In rhodopsin, we investigate the consequences of vibrational wavepacket motion through a conical intersection. We identify the C11-H hydrogen out-of-plane mode as a coupling mode and devise a general model of how vibrational coherences can be used to obtain otherwise inaccessible structural information. In a second experiment, we determine the photoproduct distribution and dynamics upon isotopic substitution of selected hydrogen atoms along the retinal backbone. The results suggest a re-definition of the traditional Jablonski diagram for ultrafast photoreactions, which proceed faster than vibrational relaxation. In channelrhodopsin-1, we structurally characterise the primary photoproduct in the photocycle to be of 13-cis character. The study highlights the capabilities of IVS to obtain structural information for short-lived intermediate structures which are otherwise challenging to obtain. For the green fluorescent protein and all-trans retinal protonated Schiff base, we identify key excited-state (intermediate) structures and complement the studies with multi-dimensional Raman spectroscopy. The results provide a first picture of the structural origin of energy flow directly after photoexcitation. This thesis emphasises the capabilities of IVS beyond a proof-of-principle experiment and outlines the high potential of time-domain vibrational spectroscopy to reveal detailed structural information on ultrafast processes with high temporal resolution and sensitivity.
Design of Broadband Circularly Polarized All-Textile Antenna and Its Conformal Array for Wearable Devices

A broadband circularly polarized (BCP) all-textile antenna and its wearable conformal antenna array (WCAA) are investigated for body-centric communications. Initially, a circularly polarized (CP) microstrip patch antenna loaded with a piece of the modified metasurface is designed to achieve wide impedance and axial ratio (AR) bandwidths. The characteristic mode analysis is employed to understand the operating mechanism, which provides clear physical insight into each mode at various frequencies. Due to the adoption of textile (i.e., felt) as substrate and nylon conductive fabric as conductor, the proposed antenna is flexible, totally conforming to the curve-shaped human body. The antenna with broadside radiation is suitable for off-body communications. For verification, the prototype operating at 5 GHz (5.15–5.825 GHz) band was fabricated. The measured −10 dB impedance and 3 dB AR bandwidths of 35.1% and 17.5% with a peak gain of 8.5 dBi are achieved. Furthermore, the BCP antenna is used as an element to constitute the WCAA, and the omnidirectional radiation pattern in the azimuth plane is achieved for on- and off-body communications. The considerations about how to achieve omnidirectional radiation and avoid radiation nulls are studied in detail. Finally, the WCAA was fabricated and tested; the measured results guarantee its potential for wearable applications.
Psychological Safety Effects on Knowledge Sharing in Project Teams

This article investigates the impact of abusive supervision in causing the loss of psychological safety, which in turn impacts knowledge-sharing among project team members. Moderation and moderated mediation of psychological capital (PsyCap) in the direct and indirect relationship between abusive supervision and knowledge sharing is also tested. Using a multiwave and multisource survey, data are collected from 239 subordinate–supervisor dyads in Indian project organizations. Our research results suggest that employees with abusive leaders suffer a loss of psychological safety which in turn demotivates knowledge sharing behavior. Furthermore, the effects of abusive supervision on knowledge sharing are moderated by PsyCap such that the negative impact is alleviated by high PsyCap. Most significantly, the moderated mediation findings show that the mediated relationship is contingent on the level of PsyCap, such that the negative influence of hostile behaviors of supervisors on knowledge sharing via psychological safety is attenuated by low PsyCap. The findings of the study suggest that organizations should invest time and effort in preventing abusive supervision in the workplace and enhancing psychological safety. Clear policies, well-developed communication systems, and active involvement of employees go a long way in building a psychologically safe working environment. Given the importance of PsyCap in influencing psychological safety and knowledge sharing, organizations should pay attention to screening for personal resources in addition to knowledge, skills, and abilities. As a personal resource, PsyCap is malleable and firms may invest in developing employees’ PsyCap resources.
Gaussian Zig-Zag Source Coding Problem

In 1997, the author considered the separate coding system for two correlated memoryless Gaussian sources and squared distortion measures and determined the rate distortion region in a case where one source plays a role of the partial side information at the decoder. The above source coding system can be extended to a certain class of source network with several decoders, where each decoder has at most one full or partial side information. This class of source network is called the one-helps-one system. In this paper we consider a source network belonging to this class for correlated memoryless Gaussian sources and squared distortion measures. This source network was posed and investigated by Korner and Marton and was called the zig-zag source network. They studied the zig-zag source network in the case of discrete memoryless multiple sources. In this paper we study the zig-zag source network in the case of correlated memoryless Gaussian sources and square distortion. We determine the rate distortion region in a case where sources have a certain correlation property.
Hardware-oriented deep reinforcement learning for edge computing

: A new deep reinforcement learning enhancement is proposed for edge computing. This work focuses on deep Q-networks (DQNs), which are used in deep reinforcement learning. Although DQNs are typically improved through a software-based approach, hardware-speciﬁc knowledge such as that on data paths and pipelines is used for improving a DQN. The DQN performance is improved and the number of resources are reduced through an eﬃcient hardware design that considers the learning ﬂow and parameter search. As the scale of the problem increases, the amount of reduction in the use of resources also increases. For example, when the size of the block catch game is 5 × 10, the memory requirement is reduced by approximately 50% compared to a previous DQN. The proposed hardware-oriented approach can be applied to any software technology. This study facilitates the development of novel technologies that can be realized through edge computing.
Peringatan Otomatis Pada Internet of Things Sistem Deteksi Smart Motion

The main problem in this research is the increase in cases of theft and robbery. This incident was caused by the busyness of everyone in their daily lives, so they forgot about the safety of their house. An Internet of Things (IoT) based home security system that utilizes a PIR sensor as a human motion detector and then sends a notification in the form of a notification via SMS or e-mail is one solution to overcome the problems that have been previously proposed in previous research. However, to further clarify the warning sent from the system, a home security system is needed that can attach an image to the notification. In this study, an IoT-based home security system was developed. The IoT security system being developed can automatically send a warning message by attaching an image when the PIR sensor detects human presence. The IoT system requires a Raspberry Pi as a microcontroller that is connected to the internet, a PIR sensor to detect human movement and a Pi Camera to win an image when there is an encounter with a human within the range of the PIR sensor. Experiments in this study show that the IoT system can automatically send warning messages via the Telegram application by attaching an image when the PIR sensor detects human presence in various light conditions with a distance of 0-5 meters and the speed of sending email alerts is influenced by the condition of the internet network connection and file size. images sent.
Metallic nanomaterials in cancer theranostics: A review of Iron oxide and Gold-based nanomaterials

The role of nanotechnology in cancer treatment and diagnosis, especially in the creation of new generation cancer diagnostic and therapeutic instruments, has attracted a lot of attention in recent years. Attempts to incorporate therapeutic and diagnostic properties in a single efficient nanomedicine solution have been made in large numbers. This concept, coined "theranostics," is a smart nanosystem capable of diagnosing, successful dissemination, and therapeutic reaction tracking. By integrating clinical functionality with molecular imaging, therapeutic interventions can be useful in the selection of medication, treatment preparation, objective response control and follow-up planning based on the specific molecular characteristics of the disorder. Here, we summarize a number of recent efforts in this regard and demonstrate that therapeutic systems and techniques have considerable potential for tracking and optimizing nanomedicine-mediated drug targeting.
Strongly Correlated Phases in Flatband Lattices

In this thesis we study strongly correlated phases of bosons and fermions in lattice models where the lowest Bloch band is flat, i.e. the kinetic energy is constant and independent of the lattice momentum. The states forming the flat band are localized with zero group velocity, facilitating the construction of exact solutions of the many-body problem. Using these solutions and numerical simulations, we characterize the ground state and transport properties of these systems. Weak interactions generally stabilize phases which can be described in terms of non-interacting quasiparticles, and which are qualitatively similar to the phases of free particles. A prime example is the Fermi liquid which is smoothly connected to the free electron gas. An important avenue towards new exotic phases of matter, which are profoundly different than their non-interacting counterparts, is to consider systems where strong interactions dominate over the kinetic energy. For instance, strong enough interactions between electrons can turn a metal into an insulator, the so-called Mott insulator. In a system with a flat band in the single-particle spectrum, the characteristic energy scale of the kinetic energy vanishes. In a situation like this, the behavior of the system is fully governed by interactions, and even weak interactions between particles stabilize strongly correlated phases which cannot be described by a straightforward perturbative approach. In the first part of this thesis, we consider weakly interacting bosons in a one-dimensional lattice with two flat bands and study its ground state phase diagram. We show that instead of straightforward condensation, repulsive interactions of any strength stabilize exotic phases such as a pair-liquid, a supersolid, and a Wigner crystal at small densities. We derive an effective theory by utilizing the general framework of projecting interactions onto the lowest flat band subspace. We also introduce a variational approach used to construct exact eigenstates of the effective Hamiltonian. Our analytical results are in excellent agreement with numerical calculations. The second part of this thesis deals with interacting fermions in a lattice with an isolated flat band. We extend the framework of projecting interactions and construct an effective theory by elim-
COVID-19 & BLM: Racial Inequity in Healthcare

In this review of scholarship on healthcare inequality, as well as recent scholarship focused on COVID-19, we find there are clear racial disparities within healthcare, seen within previous trends, as well as the current pandemic. Minorities have historically been at greater risk during prior health crises, as well as being at risk for various underlying health conditions, and now, there are higher rates of infection and mortality amongst minority groups. Socioeconomic factors play an incredibly important role in these disparities, and much of the current discourse does regard socioeconomic status as a primary factor in these trends. However, we find that there is a layer of inequality extending beyond socioeconomic status that is due to systemic racism within healthcare. The complex notion of systemic racism can be further broken down into three primary categories that will be discussed in this thesis: historical, interpersonal, and institutional, all of which are connected, but have contributed to systemic racism in their own unique way, thus requiring their own unique solutions to alleviate racial inequality within healthcare and COVID-19. Historical causes require alleviating mistrust of healthcare through increasing minority representation in healthcare and public outreach to underserved communities. Adapting medical education to systemic racism can improve interpersonal relationships between physicians and minority patients. Finally, to promote true, systemic change, institutional causes must be addressed, through the proper allocation and funding of resources to minority communities, but also with the conscientious provision of healthcare that acknowledges systemic racism in its practice.
Correlation between myocardial perfusion imaging findings and future cardiac events in patients with type 2 diabetes mellitus

Introduction/Objective. Myocardial perfusion imaging (MPI) is clinically useful for the evaluation of coronary artery disease (CAD) in patients with diabetes mellitus (DM). However, the prevalence of ischemia and its ability to predict future cardiac events is less clear. The aim was to determine the incidence of cardiac events in diabetic patients and relationship between them and MPI findings. Methods. Two cohorts of patients, 98 diabetics and 100 non-diabetics, with medium- to high-risk of CAD without previous coronary revascularization were studied prospectively. All of them were outpatients underwent 99mTc-sestamibi MPI with dipyridamole. The data about cardiac events were collected during follow-up period of two years. Results. Cardiac events occurred in 17.3% diabetics and in 8% non-diabetics (p = 0.048). Diabetics had shorter estimated event-free time 24.7 months (95% CI 23.2-26.2) versus non-diabetics 28.5 months (95% CI 27.4-29.5) (p = 0.046). The independent predictors of cardiac events were male sex (p = 0.010), previous myocardial infarction (p < 0.001), presence of the symptoms of angina (p = 0.014) and all variables derived from MPI findings. After adjustment for variables derived from MPI findings, the significant predictors in diabetics were size of stress perfusion defect (p = 0.022), summed stress score (p = 0.011) and summed difference score (p = 0.044). Conclusion. In diabetic patients, the cumulative rate of cardiac events was higher and the event-free survival was worse. MPI could help in prediction of cardiac events in diabetics and the most important predictors were size of stress perfusion defect, summed stress score and summed difference score.
Effect of GA3, waxing and micro perforated bags on shelf life and selected quality attributes of papaya fruit

Papaya fruit is characterized by a relatively short shelf-life. To extend the shelf-life and to investigate the effect of various postharvest treatments on shelf-life and quality, a study was conducted on papaya ( Carica papaya ) cv. Hortus Gold. The treatments included gibberellic acid (GA 3 ), waxing and micro-perforated bags (MPB). Fruits were held at four different temperatures (5.5, 7, 10 or 22oC). Percentage weight loss (PWL), firmness, skin colour change and respiration rate were evaluated on a weekly basis during the storage period. Selected quality attributes such as total soluble solids (TSS), titratable acids (TA), pH and sugar:acid ratio were also measured after storage. Based on the colour change and softening days to ripen was determined. PWL, softening, yellowing and respiration rate increased irrespective of treatments as the storage time and temperature was increased. MPB and waxing significantly (P<0.001) reduced PWL and softening compared to the control fruits. This was consistent for all storage temperatures. GA 3 resulted in significantly lower (P<0.001) PWL compared to the control at 7, 10 and 22oC, but not at 5.5oC. Moreover, waxing and GA 3 treatments significantly reduced colour development and the respiration rate at all storage temperatures. An increased respiration rate was evident in MPB at 5.5 and 22oC. Fruits at 7 and 10oC exhibited an increased shelf-life up to eight and six weeks, respectively, while fruits at 5.5oC showed chilling injury, which resulted in an increase in respiration rate and PWL. Similarly, fruits at 22oC showed a rapid respiratory climacteric after two weeks of storage and deteriorated very rapidly. There was no measurable difference among treatments in their TSS, TA, pH and sugar:acid ratio at all storage temperatures. Waxing, GA 3 and MPB are, therefore, promising means of controlling papaya postharvest loss and, hence, increase shelf-life with no significant effect to the quality within the conditions of poor infrastructure and poor storage facilities. Normal 0 false false false EN-US X-NONE X-NONE