Miracle-dz/UniFAR-FTUs huggingface dataset:
Coverage Analysis of a THz Cellular Network in the Presence of Scatterers

In this paper, we present a comprehensive analytical framework for the system level analysis of THz cellular networks, which incorporates all key features of THz propagation, including blocking, directionality and scattering. This framework is particularly novel from the perspective of including the effect of scattering that has been largely ignored in such analyses thus far. We model the locations of the THz base-stations (BSs) as a homogeneous Poisson point process (PPP) and users (UEs) as another independent point process (PP). Further, the blockages and scatterers are modeled using a Boolean process and an independent PPP, respectively. The framework also incorporates distinction of line-of-sight (LOS), non-line-of-sight (NLOS) links, a realistic bounded path-loss model with absorption losses, and antenna directivity. Using the proposed framework, we first characterize the interference caused by BSs and scatterers via its Laplace transform (LT). We then derive the SINR (signal to interference plus noise ratio) coverage probability. With the help of a dummy exponential random variable (RV), we also derive the exact mean SINR. Our analysis concretely demonstrates that the scatterers have a significant impact on the coverage probability. Further, our results show that the coverage probability does not always increase with the increasing density of THz BSs.
Optical OTFS is Capable of Improving the Bandwidth-, Power- and Energy-Efficiency of Optical OFDM

We demonstrate that the proposed optical orthogonal time frequency space (O-OTFS) is capable of improving the bandwidth-/power-/energy-efficiencies of optical orthogonal frequency-division multiplexing (O-OFDM). The bandwidth-efficiency is improved because only a single cyclic prefix (CP) is needed for an entire O-OTFS frame. The power-efficiency is enhanced thanks to the diversity gain achieved by its symplectic finite Fourier transform (SFFT), which also leads to a reduced peak-to-average power ratio (PAPR), hence improving its energy-efficiency. These features are facilitated by the proposed layered asymmetrically clipped O-OTFS (LACO-OTFS), which is capable of removing the direct current (DC) bias while retaining the full optical throughput. Nonetheless, there exists an inherent trade-off, where increasing the O-OTFS frame size leads to a commensurately reduced CP percentage at the cost of an increased PAPR. In order to mitigate this, we propose to perform discrete Fourier transform based spreading (DFT-S) in the delay-Doppler (DD)-domain. Furthermore, we demonstrate that regardless of the choice of domain in which the information is modulated (i.e. O-OFDM/O-OTFS with/without DFT-S), the frequency-selectivity of the quasi-static but dispersive optical channel can always be equalized by single-tap frequency-domain equalization (FDE). Moreover, the channel estimation techniques are conceived to operate in the time-/frequency-/DD-domains for both O-OFDM and O-OTFS. Our simulation results demonstrate that for a multi-user optical wireless system associated with $M=64$ subcarriers and the OTFS frame length of $N=64$ , LACO-OTFS is capable of achieving a 7 dB power-efficiency gain over LACO-OFDM, where the CP overhead is reduced by a factor of $N=64$ . DFT-S-LACO-OTFS is also capable of providing a 7 dB power-efficiency gain over DFT-S-LACO-OFDM, where the low PAPR of single-carrier transmission is retained.
ChatGPT in forensic sciences: a new Pandora’s box with advantages and challenges to pay attention

Abstract ChatGPT is a variant of the generative pre-trained transformer (GPT) language model that uses large amounts of text-based training data and a transformer architecture to generate human-like text adjusted to the received prompts. ChatGPT presents several advantages in forensic sciences, namely, constituting a virtual assistant to aid lawyers, judges, and victims in managing and interpreting forensic expert data. But what would happen if ChatGPT began to be used to produce forensic expertise reports? Despite its potential applications, the use of ChatGPT and other Large Language Models and artificial intelligence tools in forensic writing also poses ethical and legal concerns, which are discussed in this perspective together with some expected future perspectives.
Deciphering Potential Molecular Signatures to Differentiate Acute Myeloid Leukemia (AML) with BCR::ABL1 from Chronic Myeloid Leukemia (CML) in Blast Crisis

Acute myeloid leukemia (AML) with BCR::ABL1 has recently been recognized as a distinct subtype in international classifications. Distinguishing it from myeloid blast crisis chronic myeloid leukemia (BC-CML) without evidence of a chronic phase (CP), remains challenging. We aimed to better characterize this entity by integrating clonal architecture analysis, mutational landscape assessment, and gene expression profiling. We analyzed a large retrospective cohort study including CML and AML patients. Two AML patients harboring a BCR::ABL1 fusion were included in the study. We identified BCR::ABL1 fusion as a primary event in one patient and a secondary one in the other. AML-specific variants were identified in both. Real-time RT-PCR experiments demonstrated that CD25 mRNA is overexpressed in advanced-phase CML compared to AML. Unsupervised principal component analysis showed that AML harboring a BCR::ABL1 fusion was clustered within AML. An AML vs. myeloid BC-CML differential expression signature was highlighted, and while ID4 (inhibitor of DNA binding 4) mRNA appears undetectable in most myeloid BC-CML samples, low levels are detected in AML samples. Therefore, CD25 and ID4 mRNA expression might differentiate AML with BCR::ABL1 from BC-CML and assign it to the AML group. A method for identifying this new WHO entity is then proposed. Finally, the hypothesis of AML with BCR::ABL1 arising from driver mutations on a BCR::ABL1 background behaving as a clonal hematopoiesis mutation is discussed. Validation of our data in larger cohorts and basic research are needed to better understand the molecular and cellular aspects of AML with a BCR::ABL1 entity.
Enteral lorlatinib after immune hyperprogression as a treatment option for anaplastic lymphoma kinase‑positive non‑small cell lung cancer: A case report

Fusion of the anaplastic lymphoma kinase (ALK) gene is a rare driver in non-small cell lung cancer (NSCLC). Lorlatinib is a third-generation ALK inhibitor approved for the treatment of locally advanced or metastatic ALK+ NSCLC. The traditional administration method of lorlatinib is whole tablet ingestion, while the efficacy effect of gastric tube injection after water dissolution remains unclear. In the present report, a marked response to lorlatinib in a 49-year-old patient with ALK+ NSCLC who was administered lorlatinib through a gastric tube, was described. The patient had received chemotherapy combined with immune checkpoint inhibitors prior to targeted drug therapy and developed hyperprogression, which was mainly manifested as rapid enlargement of the primary lesion with multiple new systemic metastases, accompanied by poor performance status score, esophageal compression and difficulty eating. The patient was injected with pre-dissolved lorlatinib through the nasogastric tube. After 6 days, related symptoms, such as dyspnea and dysphagia, were relieved. After 18 days, the esophageal stenosis was significantly alleviated, and the gastric tube was removed. In conclusion, gastric tube injection be used as a means of lorlatinib administration in patients with ALK+ NSCLC with dysphagia, regardless of previous immunotherapy-associated hyperprogression.
Reversible Contrast Enhancement by Histogram Specification and Very Low Distortion Data Hiding

This paper deals with reversible contrast enhancement (RCE). Image enhancement is achieved by histogram specification, the most popular contrast enhancement technique. A low bitrate procedure for inverting histogram specification is developed. The data for original image recovery is reversibly embedded into the contrast enhanced version. Very low distortion RDH schemes that exploit the sparse histogram of the contrast enhanced images are also proposed. Their major novelties are: embedding only into the histogram bins that provide room without any pixel shifting or overflow/underflow control, and encoding of embedded data sequence with fewer bits of “1”. The newly proposed RDH can exceed 1 bpp at average square errors per embedded bit between 0.375 and 0.5. It should be stressed that one gets reversibility at the distortion of least significant bit substitution algorithms. Experimental results are presented. With the proposed RCE-HS, reversibility is obtained without any visual distortion.
Lycopene Alleviates the Adverse Effects of Feeding High-Lipid Diets to Hybrid Grouper (♀Epinephelus fuscoguttatus ×♂E. lanceolatus)

It has been found that high-lipid diets (HLDs) disrupt lipid metabolism in fish, leading to an excessive accumulation of lipids in various tissues of the fish body. The objective of this study was to investigate if the inclusion of lycopene (LCP) in an HLD may mitigate the adverse consequences of excessive dietary lipid intake in hybrid grouper (♀ Epinephelus fuscoguttatus × ♂ E. lanceolatus). The experimental design incorporated a control group (L0), which was administered a diet consisting of 42% protein and 16% lipid. The diets for groups L1, L2, and L3 were developed by augmenting the control diet with 100, 200, and 400 mg/kg LCP, respectively. The duration of the trial spanned a period of 42 days. The results of the study showed that the weight gain rate (WGR) and protein efficiency ratio (PER) of the three LCP treatment groups (L1, L2, and L3) tended to increase and then decrease, with a significant increase in WGR and PER in L2 (P < 0.05). Visceral somatic index and hepatic somatic index tended to decrease and then increase in all treatment groups, with a significant decrease in L2 (P < 0.05). In serum dietary LCP significantly reduced triglyceride (TG), total cholesterol (TC), and low-density lipoprotein (LDL) content and significantly increased high-density lipoprotein (HDL) content (P < 0.05). In the liver, dietary LCP reduced TC, TG, and very LDL levels and improved lipoprotein lipase, hepatic lipase, fatty acid (FA) synthetase, and acetyl-CoA carboxylase activities. The number and area of hepatic lipid droplets decreased significantly with increasing LCP content. In the liver, the addition of appropriate levels of LCP significantly upregulated lipoprotein lipase (lpl) and peroxisome proliferator-activated receptor α (pparα). In summary, dietary LCP improves growth and reduces lipid deposition in the liver of hybrid grouper by increasing lipolytic metabolism and decreasing FA synthesis. Under the experimental conditions, the fitted curve analysis showed that the recommended LCP additions to the high lipid diet for juvenile hybrid grouper were 200–300 mg/kg.
IT ROARS BUT THEN IT SUFFERS: AMERICA IN THE INTERBELLUM AS DEPICTED IN THE GREAT GATSBY

Francis Scott Fitzgerald’s The Great Gatsby that is written in 1925 records one of the most remarkable decades in American history. American economy “roars” in the interbellum/interwar period with the advancement of technology and the stock market but then it declined by excessive consumerism. This article seeks to identify the changes in the American economy and consumer culture as depicted in Fitzgerald’s The Great Gatsby and the subsequent depression that happened. A new historicism technique is applied to describe some major factors enabling America in the twenties to lead the world’s economy as depicted in the novel and factors ending the development. By using a content analysis technique, data in the form of excerpts from the novel are collected. The data are then analyzed following the thematic analysis principles. The result of the study points out some changes that made America in the twenties roar are the increase of middle-class people, the widespread use of technology, the development of the stock market, the affordability of automobiles, and the freedom to speak and act. The glorious decades came to an end after 1939 when the stock market crashed, consumerism escalated, credit card use expanded and banks got a “panic attack”. The implication for today’s lifestyle is mentioned.
Coherent Control of the Goos-Hänchen Shift in a Cavity Containing a Five-Level Double-Ladder Atomic System

In this paper, we proposed a cavity containing an intracavity medium of five-level double-ladder-type atoms with electromagnetically induced transparency to enhance Goos-Hänchen shifts of reflected and transmitted light beams. The dependence of the Goos-Hänchen shifts has been analyzed. It is shown that Goos-Hänchen shifts can be controlled by modifying the intensity and detuning of the coherent control field without changing material and the structure of the dielectric interface. This work has considerable potential for applications such as optical devices in information processing, flexible optical-beam steering and alignment, optical sensors and optical switches.
B4W: A Smart Wireless Intruder Detection System

Surveillance and monitoring are highly critical in many application scenarios like wildlife conservation, restricted areas such as nuclear spillover, and border security. Moreover, in these scenarios, intrusions do not happen frequently thus, conventional surveillance is overkill and expensive that also requires extensive human involvement which can be arduous, expensive, and inefficient. To address these issues we propose an end-to-end smart acoustic surveillance solution for intrusion detection using a simple low-cost system called Balls for Walls (B4 W). The objective is to create a network of sensors that could also be remotely launched. The nodes responsible for surveillance employ audio sensors which are packaged within hard balls thus allowing the launch of these sensors from a distance of over 500 m. We use microphones for detecting human activity inferred through sensing the sound of footsteps against background noise. We evaluate the systems across five different terrain types. We propose a novel, low complexity detection algorithm called SEED which leverages signal energy and shape to distinguish humans from ambient noise. B4 W offers a maximum detection rate of 98.3% on dry leaves and a low false alarm rate of 0.9%. The system is energy efficient to last a maximum of 170 days and it is orientation agnostic. The proposed system has been extensively tested across varying terrains and ambient signal scenarios to demonstrate its efficacy.
Bacillus Subtilis (BG01-4TM) Improves Self-Reported Symptoms for Constipation, Indigestion, and Dyspepsia: A Phase 1/2A Randomized Controlled Trial

Background: Functional gastrointestinal disorders (FGIDs) are common, difficult-to-manage conditions. Probiotics are emerging as a dietary component that influence gastrointestinal (GI) health. We conducted a double-blinded randomised controlled trial of a proprietary strain of deactivated Bacillus subtilis (BG01-4™) high in branched-chain fatty acids (BCFA) to treat self-reported FGID. Methods: Participants (n = 67) completed a four-week intervention of BG01-4™ (n = 34) or placebo (n = 33). The Gastrointestinal Symptom Rating Scale (GSRS) served as the outcome measure, collected prior to, at two weeks, and at four weeks after completion of the intervention. Results: At four weeks, one of three primary outcomes, constipation in the experimental group, was improved by 33% compared to placebo (15%); both other primary outcomes, Total GSRS and diarrhoea, were significantly improved in both the experimental and placebo groups (32%/26% and 20%/22%, respectively). The pre-planned secondary outcome, indigestion, was improved at four weeks (32%) but compared to the placebo (21%) was not significant (p = 0.079). Exploratory analysis, however, revealed that clusters for constipation (18% improvement, p < 0.001), indigestion (11% improvement, p = 0.04), and dyspepsia (10% improvement, p = 0.04) were significantly improved in the intervention group compared to the placebo. Conclusions: These initial findings suggest that in people with self-reported FGID, BG01-4™ improves specific symptoms of constipation and related GI dysfunction. Longer-term confirmatory studies for this intervention are warranted. Trial registration: This study was registered prospectively (25 October 2021) at the Australian New Zealand Clinical Trials Registry (ACTRN12621001441808p).
Forecast and simulation of influence of emergency water pollution accident occurred in Qiantang River under different runoff conditions

The 2-D tide water quality model was adopted to simulate and forecast the impact of emergency water pollution accident occurred in Qiantang River on water quality.The result showed that the transport velocity of polluted water distinctly increased with the increase of runoff and the maximum concentration also decreased.In the same time,with the dispersion and dilution of pollution in the process of transport,the total duration increase and the maximum concentration decreased gradually along the river.The result of simulation and calculation revealed that the increase of discharged flow at the upstream of river plays a very important role in accelerating the polluted water to move downward and diluting the pollutant body so as to lower the pollutant concentration when the emergency water pollution accident occurred.The result can provide an important theoretical basis for the treatment of unexpected water pollution emergency.
Lithocarpustapanuliensis (Fagaceae), a new stone oak from northern Sumatra and its role as an important resource for critically endangered orangutans

﻿Abstract A new species of stone oak, Lithocarpustapanuliensis Harapan, W.H. Tan, Nurainas & Strijk from South Tapanuli, North Sumatra, Indonesia is described. We provide colour photographs, a distribution map and a new IUCN conservation status assessment for inclusion on the global Red List. The unique cupule morphology, particularly the shape, placement and distinctness of the cupule protuberances, are distinctive from other Lithocarpus species in the region. Ecological interactions (e.g. consumption and nesting) with Tapanuli orangutans were recorded in the field.
Extreme ionospheric ion energization and electron heating in Alfvén waves in the storm time inner magnetosphere

We report measurements of energized outflowing/bouncing ionospheric ions and heated electrons in the inner magnetosphere during a geomagnetic storm. The ions arrive in the equatorial plane with pitch angles that increase with energy over a range from tens of eV to > 50 keV while the electrons are field aligned up to ~1 keV. These particle distributions are observed during intervals of broadband low‐frequency electromagnetic field fluctuations consistent with a Doppler‐shifted spectrum of kinetic Alfvén waves and kinetic field line resonances. The fluctuations extend from L ≈ 3 out to the apogee of the Van Allen Probes spacecraft at L ≈ 6.5. They thereby span most of the L shell range occupied by the ring current. These measurements suggest a model for ionospheric ion outflow and energization driven by dispersive Alfvén waves that may account for the large storm time contribution of ionospheric ions to magnetospheric energy density.
Integrated Transcriptomics and Network Analysis of Potential Mechanisms and Health Effects of Convalescent COVID-19 Patients

Coronaviral disease 2019 (COVID-19) is a recent pandemic disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Currently, there are still cases of COVID-19 around the world that can develop into persistent symptoms after discharge. The constellation of symptoms, termed long COVID, persists for months and can lead to various diseases such as lung inflammation and cardiovascular disease, which may lead to considerable financial burden and possible risk to human health. Moreover, the molecular mechanisms underlying the post-pandemic syndrome of COVID-19 remain unclear. In this study, we aimed to explore the molecular mechanism, disease association, and possible health risks in convalescent COVID-19 patients. Gene expression data from a human convalescent COVID-19 data set was compared with a data set from healthy normal individuals in order to identify differentially expressed genes (DEGs). To determine biological function and potential pathway alterations, the GO and KEGG databases were used to analyze the DEGs. Disease association, tissue, and organ-specific analyses were used to identify possible health effects. A total of 250 DEGs were identified between healthy and convalescent COVID-19 subjects. The biological function alterations identified revealed cytokine interactions and increased inflammation through NF-κB1, RELA, JUN, STAT3, and SP1. Interestingly, the most significant pathways were cytokine-cytokine receptor interaction, altered lipid metabolism, and atherosclerosis that play a crucial role in convalescent COVID-19. In addition, we also found pneumonitis, dermatitis, and autoimmune diseases. Based on our study, convalescent COVID-19 is associated with inflammation in a variety of organs that could lead to autoimmune and inflammatory diseases, as well as atherosclerosis. These findings are a first step toward fully exploring the disease mechanisms in depth to understand the relationship between post-COVID-19 infection and potential health risks. This is necessary for the development of appropriate strategies for the prevention and treatment of long COVID.
Group analysis and classification of working memory task conditions using electroencephalogram cortical currents during an n-back task

Electroencephalographic studies of working memory have demonstrated cortical activity and oscillatory representations without clarifying how the stored information is retained in the brain. To address this gap, we measured scalp electroencephalography data, while participants performed a modified n-back working memory task. We calculated the current intensities from the estimated cortical currents by introducing a statistical map generated using Neurosynth as prior information. Group analysis of the cortical current level revealed that the current amplitudes and power spectra were significantly different between the modified n-back and delayed match-to-sample conditions. Additionally, we classified information on the working memory task conditions using the amplitudes and power spectra of the currents during the encoding and retention periods. Our results indicate that the representation of executive control over memory retention may be mediated through both persistent neural activity and oscillatory representations in the beta and gamma bands over multiple cortical regions that contribute to visual working memory functions.