Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of 68Ga-PSMA-617 PET/CT and 68Ga-RM2 PET/CT in Patients with Localized Prostate Cancer Who Are Candidates for Radical Prostatectomy: A Prospective, Single-Arm, Single-Center, Phase II Study

Visual Abstract Considering the wide range of therapeutic options for localized prostate cancer (e.g., active surveillance, radiation-beam therapy, focal therapy, and radical prostatectomy), accurate assessment of the aggressiveness and localization of primary prostate cancer lesions is essential for treatment decision making. National Comprehensive Cancer Network guidelines recognize prostate-specific membrane antigen (PSMA) PET/CT for use in initial staging of high-risk primary prostate cancer. The gastrin-releasing peptide receptor (GRP-R) is a neuropeptide receptor overexpressed by low-risk prostate cancer cells. We aimed to perform the first (to our knowledge) prospective head-to-head comparison of PSMA- and GRP-R–targeted imaging at initial staging to understand how PSMA PET and GRP-R PET can be used or combined in clinical practice. Methods: This was a prospective, single-center, diagnostic cross-sectional imaging study using anonymized, masked, and independent interpretations of paired PET/CT studies in 22 patients with 68Ga-PSMA-617 (a radiolabeled PSMA inhibitor) and 68Ga-RM2 (68Ga-DOTA-4-amino-1-carboxymethylpiperidine-d-Phe-Gln-Trp-Ala-Val-Gly-His-Sta-Leu-NH2, a radiolabeled GRP-R antagonist). We enrolled patients with newly diagnosed, biopsy-proven prostate cancer. None had received neoadjuvant hormone therapy or chemotherapy, and all underwent extended pelvic lymph node dissection. Histologic findings served as a reference. Results: On a lesion-based analysis (including lesions < 0.1 cm3), 68Ga-PSMA-617 PET/CT detected 74.3% (26/35) of all tumor lesions and 68Ga-RM2 PET/CT detected 78.1% (25/32; 1 patient could not be offered 68Ga-RM2 PET/CT). Paired examinations showed positive uptake of the 2 tracers in 21 of 32 lesions (65.6%), negative uptake in 5 of 32 lesions (15.6%), and discordant uptake in 6 of 32 lesions (18.8%). Uptake of 68Ga-PSMA-617 was higher when the International Society of Urological Pathology (ISUP) score was at least 4 versus at least 1 (P < 0.0001) or 2 (P = 0.0002). There were no significant differences in uptake between ISUP scores for 68Ga-RM2. Median 68Ga-RM2 SUVmax was significantly higher than median 68Ga-PSMA-617 SUVmax in the ISUP-2 subgroup (P = 0.01). Conclusion: 68Ga-PSMA-617 PET/CT is useful to depict higher, more clinically significant ISUP score lesions, and 68Ga-RM2 PET/CT has a higher detection rate for low-ISUP tumors. Combining PSMA PET and GRP-R PET allows for better classification of intraprostatic lesions.
Neutrino Portal Dark Matter: From Dwarf Galaxies to IceCube

elds only through neutrino mixing. We observe that the secluded and active neutrinos recouple, leading to a large relic secluded neutrino population. This relic population can prevent small-scale halos from collapsing, while at same time signicantly modifying the optical depth of ultra-high-energy neutrinos recently observed at Icecube. We nd that the bulk of the parameter space accommodating an (a)symmetric thermal relic has potentially observable consequences for the IceCube high energy signal, with some of the parameter ranges already ruled out by the existing data. Future data may conrm this mechanism if either spectral absorption features or correlations with nearby sources are observed.
Laser cooling and stochastics

In the statistical analysis of cooling and trapping of atoms by a combination of laser and magnetic field technology, Aspect, Bardou, Bouchaud and Cohen-Tannoudji (1994) showed that Levy flights is the key tool. A review of their analysis, from the point of view of renewal theory and occupation times for stochastic processes, is given here and some further analysis provided. Brief discussions of two related types of models are also given.
Food recognition via an efficient neural network with transformer grouping

Recently, considerable research efforts have been devoted to food recognition for its great potential applications in human health. Much work so far has focused on directly extracted deep visual features via Convolutional Neural Networks, which require significant computational resources and training time. The high requirements on hardware resources severely limit the application of food recognition in mobile devices and the sustainable extension on the server side. Therefore, how to design an efficient and high‐performance lightweight neural network for food recognition is the key to solve the problem. In this paper, we propose a Lightweight Transformer‐Based Deep Neural Network for food image recognition, which can achieve effective recognition of food images with fewer parameters and lower computational cost. Through Transformer Grouping and Token Shuffling, we construct an efficient food image recognition network that effectively combines the advantages of Transformer to extract global features and MobileNet to extract local features. The proposed network architecture effectively copes with the particularly scattered distribution of salient features in food images, and improves the recognition rate. We conduct extensive experiments on three popular food data sets, demonstrating that our method achieves state‐of‐the‐art performance in applying lightweight neural networks to food image recognition.
Tuning Schottky Barrier of Single-Layer MoS2 Field-Effect Transistors with Graphene Electrodes

Two–dimensional materials have the potential to be applied in flexible and transparent electronics. In this study, single-layer MoS2 field-effect transistors (FETs) with Au/Ti–graphene heteroelectrodes were fabricated to examine the effect of the electrodes on the electrical properties of the MoS2 FETs. The contact barrier potential was tuned using an electric field. Asymmetrical gate behavior was observed owing to the difference between the MoS2 FETs, specifically between the MoS2 FETs with Au/Ti electrodes and those with graphene electrodes. The contact barrier of the MoS2 FETs with Au/Ti electrodes did not change with the electric field. However, the contact barrier at the MoS2–graphene interface could be modulated. The MoS2 FETs with Au/Ti–graphene electrodes exhibited enhanced on/off ratios (~102 times) and electron mobility (~2.5 times) compared to the MoS2 FETs with Au/Ti electrodes. These results could improve the understanding of desirable contact formation for high-performance MoS2 FETs and provide a facile route for viable electronic applications.
Leptin Stimulates Endometriosis Development in Mouse Models

Endometriosis is a chronic inflammatory condition in women, and obesity leads to an inflammatory condition that is directly involved in the etiology of endometriosis. However, observational studies have shown an inverse correlation between endometriosis and a low body mass index (BMI). Obesity does not protect against endometriosis, and on the contrary, an increased BMI may lead to more severe forms of the disease. To determine the effect of obesity on endometriosis, diet-induced and genetically engineered obese mouse models were integrated with endometriosis mouse models with fluorescence-tagged ectopic lesions. High-fat diet-induced obese mice revealed a significant increase in endometriosis development compared with regular-diet control mice. However, obese recipient mice with leptin deficiency and leptin receptor deficiency showed suppressed endometriosis development compared with control mice. Furthermore, donor uterine tissues with leptin deficiency and leptin receptor deficiency suppressed endometriosis development compared with control donor in control recipient mice. Importantly, we revealed that aberrant high levels of leptin concentration significantly increased endometriosis development compared with vehicle treatment group in control mice with normal body weight. Our results suggest that leptin and its receptor are critical for endometriosis development.
8-b Precision 8-Mb ReRAM Compute-in-Memory Macro Using Direct-Current-Free Time-Domain Readout Scheme for AI Edge Devices

Compute-in-memory (nvCIM) macros based on non-volatile memory make it possible for artificial intelligence (AI) edge devices to perform energy-efficient multiply-and-accumulate (MAC) operations by minimizing the movement of data between the processors and memory. However, nvCIM imposes tradeoffs between energy efficiency, computing latency, and readout accuracy against process variation. To overcome these challenges, this work proposed a nvCIM macro featuring: 1) a direct-current-free time-space-based in-memory computing (DCFTS-IMC) scheme; 2) a wordline-based serial access computing (WSAC) scheme; 3) an integration-based voltage-to-time converter (IVTC); and 4) a hidden-latency time-to-MAC value conversion (HLTMC) scheme. The proposed 22-nm 8-Mb resistive random access memory-CIM (ReRAM-CIM) macro was fabricated to demonstrate MAC operations with 8-b input, 8-b weight, and 19-b output. Our nvCIM macro achieved computing latency of 14.4 ns under 8-b precision with an energy efficiency of 21.6 TOPS/W.
Promoting Children’s Psychomotor Development with Multi-Teaching Didactics

This group randomized control trial examined the dose-response effect of varied combinations of linear and nonlinear pedagogy (enriched physical education with specific program led by specialist vs. conventional physical education led by generalist) for improving first-grade children’s motor creativity, executive functions, self-efficacy, and learning enjoyment. We led three physical education classes per group through 12 weeks of combined instruction, based on linear and nonlinear pedagogy: mostly linear (ML; 80% linear, 20% nonlinear; n = 62); mostly nonlinear (MNL; 20% linear, 80% nonlinear; n = 61); and control (C; conventional teaching from generalists; n = 60). MNL improved in (a) motor creativity ability (DMA; 48.7%, 76.5%, and 47.6% for locomotor, stability, and manipulative tasks, respectively); (b) executive functions (working memory and inhibitory control) for RNG task (14.7%) and task errors (70.8%); (c) self-efficacy (5.9%); and (d) enjoyment (8.3%). In ML, DMA improved by 18.0% in locomotor and 60.9% in manipulative tasks. C improved of 10.5% in enjoyment, and RNG task worsened by 22.6%. MNL improvements in DMA tasks, executive functions, and self-efficacy were significantly better than those in C. ML was better than C in DMA task and in executive functions’ task errors. Overall, ML and MNL approaches were more effective than conventional generalist teaching (C), and the MNL combination of 80% nonlinear and 20% linear pedagogy was optimal. We recommend that educators favor the MNL approach.
The state of the art in beyond 5G distributed massive multiple-input multiple-output communication system solutions

Beyond fifth generation (5G) communication systems aim towards data rates in the tera bits per second range, with improved and flexible coverage options, introducing many new technological challenges in the fields of network architecture, signal pro- cessing, and radio frequency front-ends. One option is to move towards cell-free, or distributed massive Multiple-Input Multiple-Output (MIMO) network architectures and highly integrated front-end solutions. This paper presents an outlook on be- yond 5G distributed massive MIMO communication systems, the signal processing, characterisation and simulation challenges, and an overview of the state of the art in millimetre wave antennas and electronics.
Assessment and characterization of waste material used as backfilling in an abandoned mine

ABSTRACT Overburden is the earth material removed during opencast mining, which is typically not contaminated with toxic materials. After mining operations, overburdens are dumped on exhausted mining sites. However, some opencast mines are not properly backfilled, and this causes harmful environmental effects, such as leaching of acid mine drainage. The flyash produced from thermal power plants is also a major waste that must be disposed of environmentally friendly. This study focuses on filling the voids of an abandoned mine with a mixture of 70% overburden + 30% flyash. A considerable improvement in acid mine drainage characteristics was found after either adding overburden or an overburden and flyash mixture. Sustainable management of coal mines should include the careful restoration of exhausted mines, which can be made possible by repurposing relevant industrial waste.
Oscillating two-stream and parametric decay instabilities in a weakly magnetized plasma. [of solar wind]

The effects of a weak ambient magnetic field on the oscillating two‐stream and parametric decay instabilities, with particular emphasis on the dependence of the angular variation of the instability thresholds and growth rates on the magnetic field, are considered. A dispersion relation is derived in the limit in which ωe≳≳Ωe (where ωe and Ωe are the electron plasma and cyclotron frequencies, respectively), and is solved for dipole and monochromatic pump spectra. The analysis shows that the presence of a magnetic field can substantially enhance thresholds and reduce growth rates for waves propagating at an oblique angle with respect to the ambient magnetic field and k2λ2e∼Ω2e/ω2e (where k is the wave vector of the perturbation and λe is the Debye length). Thus, the magnetic field has a stabilizing influence on the off‐parallel propagating modes.
The Value Structure of Pre-Teens at Risk of School Dropout

Values are connected to how a person perceives the environment and themselves. One can talk about a certain dynamic of values over time. Changes in the importance of values occur due to existing situations in the external environment or to a significant alteration in one’s internal motivation. The goals of our research were to determine the value structure of preadolescents at risk of school dropout and to identify differences in values depending on the type of vulnerability, gender and geographical region. A total of 120 pre-teens (64 boys and 56 girls) at risk of school dropout participated in the study. We used the Values Questionnaire, part of the PEDb computerised platform (created by Cognitrom), which is calibrated for the Romanian population. The results have revealed that the most important values for pre-teens at risk of school dropout are related to social relations, skill development, free time and compliance with the rules. Significant differences were highlighted between boys and girls, respectively between socially assisted students and those with an absent parent, considering the value structure. Also, through a single-factor multivariate analysis of variance, important differences were noted in terms of free time and social relations, depending on the geographical region. The study findings are valuable resources for teachers (who can positively influence the social and educational integration of preadolescents by using student-centered learning and taking into account their value system), parents, and researchers eager to better understand the value structure of students at risk of school dropout.
An Active Slew Rate Control Gate Driver IC With Robust Discrete-Time Feedback Technique for 600-V Superjunction MOSFETs

In this article, an active slew rate (SR) control IC for superjunction MOSFET (SJMOS) is proposed. Active gate control is an attractive technique to reduce switching (SW) losses by maintaining a constant drain voltage SR (<inline-formula> <tex-math notation="LaTeX">$dV_{d}/dt$ </tex-math></inline-formula>) of power devices. However, the conventional method for IGBT, GaN, and SiC devices cannot be applied to the active gate control of SJMOS because <inline-formula> <tex-math notation="LaTeX">$dV_{d}/dt$ </tex-math></inline-formula> is determined by the reverse recovery current (<inline-formula> <tex-math notation="LaTeX">$I_{\mathrm {RR}}$ </tex-math></inline-formula>), which is unique to SJMOS. In this article, a discrete-time feedback technique that can control <inline-formula> <tex-math notation="LaTeX">$I_{\mathrm {RR}}$ </tex-math></inline-formula> generated before the drain voltage transition by reflecting the feedback result in the next SW is proposed. The <inline-formula> <tex-math notation="LaTeX">$dV_{d}/dt$ </tex-math></inline-formula> of SJMOS is kept constant by controlling <inline-formula> <tex-math notation="LaTeX">$I_{\mathrm {RR}}$ </tex-math></inline-formula> with two resistors connected to the gate. In addition, the proposed technique can reduce the SW losses more than the control with one resistance value under the same <inline-formula> <tex-math notation="LaTeX">$dV_{d}/dt$ </tex-math></inline-formula> condition because the proposed technique can improve the rise time of the drain current without changing <inline-formula> <tex-math notation="LaTeX">$dV_{d}/dt$ </tex-math></inline-formula>. By using the proposed technique, <inline-formula> <tex-math notation="LaTeX">$dV_{d}/dt$ </tex-math></inline-formula> can be kept constant regardless of the load current, temperature, and threshold voltage of SJMOS. The proposed gate driver is implemented in 0.6-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> CMOS, and the measured results show that <inline-formula> <tex-math notation="LaTeX">$dV_{d}/dt$ </tex-math></inline-formula> can be controlled to 3, 4.5, and 4.9 V/ns values, and the SW losses can be reduced by 25%. The turn-on delay reduction of 74% is also achieved by the proposed gate driver.
Interaction Effects of Maternal Sexually Transmitted Infections with Prenatal Care Utilization Status on Preterm Birth and Low Birthweight: U.S. National Data

This case-control study aimed to test interaction between the most common sexually transmitted infections (STIs) (i.e., chlamydia, gonorrhea, and syphilis) and prenatal care (PNC) utilization status on preterm birth (PTB) (<37 weeks gestation) and low birthweight (LBW) (<2500 g). We used data of participants with singleton live births (N = 3,418,028) from the 2019 United States National Vital Statistics System. There were 280,206 participants in the PTB group and 3,137,822 in the control group, and 221,260 participants in the LBW group and 3,196,768 in the control group. Nearly 1.9% of the participants had chlamydia, 0.3% had gonorrhea, and 0.2% had syphilis. Interaction effects of STIs with PNC utilization status on the risk of PTB and LBW were tested on the multiplicative and additive scales. Using measures of the relative excess risk of interaction (RERI), the attributable proportion of interaction (AP), and the synergy index (S), we observed the highest significant synergistic interaction between syphilis and inadequate PNC utilization increasing the risk of PTB (RERI 2.12, AP 38%, and SI 1.88), and between gonorrhea and inadequate PNC utilization increasing the risk of LBW (RERI 1.03, AP 28%, and SI 1.64). Findings from this study help improve our understanding of disease etiology and inform prevention planning.
The Effects of COVID-19 on Skeletal Muscles, Muscle Fatigue and Rehabilitation Programs Outcomes

Background and Objectives: Consequences due to infection with SARS-CoV-2 virus can have a direct impact on skeletal muscle, due to the fact that both cardiac and skeletal muscle tissue show robust ACE2(angiotensin-converting enzyme 2) expression, suggesting a potential susceptibility to SARS-CoV-2 infection in both types of tissues. From the articles analyzed we concluded that the musculoskeletal damage is firstly produced by the inflammatory effects, cytokine storm and muscle catabolism. However, myopathy, polyneuropathy and therapies such as corticoids were also considered important factors in muscle fatigue and functional incapacity. Pulmonary rehabilitation programs and early mobilization had a highly contribution during the acute phase and post-illness recovery process and helped patients to reduce dyspnea, increase the capacity of physical effort, overcome psychological disorders and improved the quality of their life. Materials and Methods: We have included in this review 33 articles that contain data on muscle damage following SARS-CoV-2 infection. We used the following keywords to search for articles: SARS-CoV-2, COVID-19, muscle weakness, muscle disease, muscle fatigue, neurological disorders. As a search strategy we used PubMed, Cochrane Database of Systematic Reviews; Database of Abstracts of Reviews of Effects and Health Technology Assessment Database to collect the information. We also have chosen the most recent articles published in the last 5 years. Conclusions: Muscular damage, as well as the decrease in the quality of life, are often a consequence of severe SARS-CoV-2 infection through: systemic inflammation, corticotherapy, prolonged bed rest and other unknown factors. Pulmonary rehabilitation programs and early mobilization had a highly contribution during the acute phase and post-illness recovery process and helped patients to reduce dyspnea, increase the capacity of physical effort, overcome psychological disorders and improve the quality of their life.
Internal Model-Based Observer Design for Synchronization of Nonlinear Multiagent Systems in Switching Networks

This article brings a class of distributed internal model-based observer for followers to estimate a leader's trajectory that is governed by nonlinear dynamics subject to parametric uncertainty in a leader-following network. The observer is valid for jointly connected switching networks. It can be adopted to solve the synchronization problem of a multiagent system through a distributed control architecture composed of an observer and a perturbed output regulator for each agent. The effectiveness of the architecture is rigorously proved for a multiagent system of general nonlinear uncertain heterogeneous dynamics in the sense of asymptotically tracking a leader's trajectory. The design procedure with sufficient conditions is explicitly developed and also demonstrated by numerical simulation.
A new species of Bythinella Moquin-Tandon, 1856 (Gastropoda: Caenogastropoda: Bythinellidae) from south-western France

The spring-snail genus Bythinella is a diverse group of minute operculate gastropods, usually restricted to springs and widely distributed in Europe. Species are primarily delineated based on shell characters such as size or overall shape. Nevertheless, studies based on molecular and morphological approaches show that these characters can be highly variable and do not necessarily have taxonomic significance. In this paper we formally describe and name, according to the requirements of the International Code of Zoological Nomenclature, a species identified by previously published phylogenetic analyses and by a barcoding gap approach based on the mitochondrial COI gene. The molecular results suggest this species is a micro-endemic species currently recognized only from south-western France at its type locality. We also highlight that the barcode approach considerably reduces the number of valid species in this region, and that a strictly shell-based taxonomy probably overestimates the species richness of the genus Bythinella.