Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and Implementation of a System for Monitoring and Remote Control of a Greenhouse Climate Parameters

This paper explains the design and implementation of electronic system based on GSM (Global System for Mobile communication) for controlling the climate parameters by SMS (Short message Service) in greenhouse. The main purpose of this system conception is the remote control of the climatic parameters that influences the production in greenhouse (Temperature, relative humidity of air and soil moisture). Several sensors and actuators are installed and connected to a management and acquisition card. These sensors provide relevant information that are used to control ventilation, heating and pump by SMS. The procedure used in our system provides the owner with a remote control avoiding the need to perform the control actions on site. The developed system in this paper is ideally suited for agricultural greenhouses in Morocco. It is simple to be installed and easy to use by farmers who do not have knowledge in computer skills. Besides, most people use their cell phones to communicate and send messages. Thus, in our system, with a simple message, all farmers can control their greenhouses from a distance. They can know the status of their greenhouse climate at any time (temperature, humidity.) and can control actuators to adjust these parameters (fan, heater, vent, drip irrigation.). Thus, we have developed a supervision interface using visual basic integrating algorithms dedicated to analogue controls.
The Spliceosome Factor EFTUD2 Promotes IFN Anti-HBV Effect through mRNA Splicing

Methods Using a CRISPR/Cas9 gene-editing system, EFTUD2 single allele knockout HepG2.2. 15 cells were constructed. Subsequently, the HBV biomarkers in EFTUD2+/– HepG2.2. 15 cells and wild-type (WT) cells with or without IFN-α treatment were detected. And the EFTUD2-regulated genes were then identified using mRNA sequence. Selected gene mRNA variants and their proteins were examined by qRT-PCR and Western blotting. To confirm the effects of EFTUD2 on HBV replication and IFN-stimulated gene (ISG) expression, a rescue experiment in EFTUD2+/– HepG2.2. 15 cells was performed by EFTUD2 overexpression. Results IFN-induced anti-HBV activity was found to be restricted in EFTUD2+/– HepG2.2. 15 cells. The mRNA sequence showed that EFTUD2 could regulate classical IFN and virus response genes. Mechanistically, EFTUD2 single allele knockout decreased the expression of ISG-encoded proteins, comprising Mx1, OAS1, and PKR (EIF2AK2), through mediated gene splicing. However, EFTUD2 did not affect the expression of Jak-STAT pathway genes. Furthermore, EFTUD2 overexpression could restore the attenuation of IFN anti-HBV activity and the reduction of ISG resulting from EFTUD2 single allele knockout. Conclusion EFTUD2, the spliceosome factor, is not IFN-inducible but is an IFN effector gene. EFTUD2 mediates IFN anti-HBV effect through regulation of gene splicing for certain ISGs, including Mx1, OAS1, and PKR. EFTUD2 does not affect IFN receptors or canonical signal transduction components. Therefore, it can be concluded that EFTUD2 regulates ISGs using a novel, nonclassical mechanism.
The p23 co-chaperone is a succinate-activated COX-2 transcription factor in lung adenocarcinoma tumorigenesis

P23, historically known as a heat shock protein 90 (HSP90) co-chaperone, exerts some of its critical functions in an HSP90-independent manner, particularly when it translocates into the nucleus. The molecular nature underlying how this HSP90-independent p23 function is achieved remains as a biological mystery. Here, we found that p23 is a previously unidentified transcription factor of COX-2, and its nuclear localization predicts the poor clinical outcomes. Intratumor succinate promotes p23 succinylation at K7, K33, and K79, which drives its nuclear translocation for COX-2 transcription and consequently fascinates tumor growth. We then identified M16 as a potent p23 succinylation inhibitor from 1.6 million compounds through a combined virtual and biological screening. M16 inhibited p23 succinylation and nuclear translocation, attenuated COX-2 transcription in a p23-dependent manner, and markedly suppressed tumor growth. Therefore, our study defines p23 as a succinate-activated transcription factor in tumor progression and provides a rationale for inhibiting p23 succinylation as an anticancer chemotherapy.
Analysis of effectiveness and outcome of traumatic brain injury treatment in ED during COVID-19 pandemic: A multicenter in Taiwan

The coronavirus disease 2019 has become a threat to global healthcare because of its rapid spread and evolution. In severe cases, the initial management of the disease is mainly supportive therapy and mechanical ventilation. Therefore, we investigated whether a modified emergency department workflow affects the efficacy will influence the efficacy and patient outcomes of traumatic brain injury (TBI) in Taiwan. This retrospective observational study used the Chang Gung Research Database in Taiwan from 7 hospitals in the Chang Gung Memorial Hospital System. Clinical index parameters and treatment efficiencies were analyzed between the locally transmitted period (January 20, 2020–June 7, 2020, period 2) and the community spread period (May 19, 2021–July 27, 2021, period 4) with the same interval of the pre-pandemic in 2019 as a reference period. During the locally transmitted period, only the time interval for patients who had to wait for a brain CT examination was, on average, 7.7 minutes shorter, which reached statistical significance. In addition, the number of TBI patients under 18 years of age decreased significantly during the community spread period. The “Door to the operating room (OR),” with polymerase chain reaction (PCR) testing, was on average 109.7 minutes slower than without the PCR testing in the reference period 2019. TBI treatment efficiency was delayed because of the PCR test. However, the surgical volume and functional outcome during these 2 periods were statistically insignificant compared to the pre-pandemic period because the spread of the virus was well controlled and hospital capacity was increased.
The complete mitochondrial genome of leafhopper Atkinsoniella nigrita (Hemiptera: Cicadellidae) with the shortest 12S rRNA and longest tRNA-Lys of the Atkinsoniella genus

Abstract The complete mitochondrial genome (mitogenome) of the leafhopper Atkinsoniella nigrita Zhang & Kuoh, 1993 was determined in this study. The entire sequence was 16,011 base pairs (bp) in length. The new mitogenome consists of a typical set of genes: 13 protein-coding genes (PCGs), two ribosomal RNA (rRNA) genes, 22 transfer RNA (tRNA) genes, and one control region of 1720 bp in length. The base composition of the mitogenome was A = 41.7%, T = 38.2%, C = 10.7%, and G = 9.4%. This is the classical structure for most insect mitogenomes without any gene arrangement observed. Compared with other known mitochondrial genomes of 15 Atkinsoniella species, the new mitogenome with three PCGs (ND2, ND5, and ND4L) shared the same gene base length, start codon and stop codon, and the shortest 12S rRNA (729 bp) and the longest tRNA-Lys (73 bp) within the genus Atkinsoniella. A phylogenetic analysis of 31 Cicadellinae and two Ledrinae concatenated sequences of 13 PCGs of their mitogenomes using Bayesian inference (BI) revealed that A. nigrita belongs to the genus Atkinsoniella with strong nodal support (BI posterior probability = 1).
The Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C) for serious mental illness in community mental health part 2: Study protocol for a hybrid type 2 effectiveness-implementation cluster- randomized trial using train-the-trainer

Background Train-the-trainer (TTT) is a promising method for implementing evidence-based psychological treatments (EBPTs) in community mental health centers (CMHCs). In TTT, expert trainers train locally embedded individuals (i.e., Generation 1 providers) to deliver an EBPT, who then train others (i.e., Generation 2 providers). The present study will evaluate implementation and effectiveness outcomes of an EBPT for sleep and circadian dysfunction–the Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C)–delivered to CMHC patients with serious mental illness by Generation 2 providers (i.e., trained and supervised within CMHCs via TTT). Specifically, we will investigate whether adapting TranS-C to fit CMHC contexts improves Generation 2 (a) patient outcomes (b) providers’ perceptions of fit. Methods TTT will be implemented in nine CMHCs in California, United States (N= 60 providers; N= 130 patients) via facilitation. CMHCs are cluster-randomized by county to Adapted TranS-C or Standard TranS-C. Within each CMHC, patients are randomized to immediate TranS-C or usual care followed by delayed treatment with TranS-C (UC-DT). Aim 1 will assess the effectiveness of TranS-C (combined Adapted and Standard), compared to UC-DT, on improvements in sleep and circadian problems, functional impairment, and psychiatric symptoms for Generation 2 patients. Aim 2 will evaluate whether Adapted TranS-C is superior to Standard TranS-C with respect to Generation 2 providers’ perceptions of fit. Aim 3 will evaluate whether Generation 2 providers’ perceived fit mediates the relation between TranS-C treatment condition and patient outcomes. Exploratory analyses will: (1) evaluate whether the effectiveness of TranS-C for patient outcomes is moderated by generation, (2) compare Adapted and Standard TranS-C on patient perceptions of credibility/improvement and PhenX Toolkit outcomes (e.g., substance use, suicidality); and (3) evaluate other possible moderators. Discussion This trial has potential to inform the process of (a) embedding local trainers and supervisors to expand delivery of a promising transdiagnostic treatment for sleep and circadian dysfunction, (b) adding to the growing body of TTT literature by evaluating TTT outcomes with a novel treatment and population, and (c) advancing our understanding of providers’ perceptions of EBPT ‘fit’ across TTT generations. Trial registration: Clinicaltrials.gov identifier: NCT05805657. Registered on April 10, 2023. https://clinicaltrials.gov/ct2/show/NCT05805657
Conserving Biocultural Diversity through Community–Government Interaction: A Practice-Based Approach in a Brazilian Extractive Reserve

We examined how community–government interaction may promote or hinder the conservation of biocultural diversity. Research was done with the extractive community of the Reserva Extrativista Riozinho da Liberdade, located in the state of Acre, Brazil. The reserve is governed by ICMBio, a Brazilian governmental organisation overseeing reserve policy implementation. This paper describes the interaction between ICMBio and the inhabitants of Riozinho da Liberdade. A Practice-Based Approach was used as a theoretical scope to look at the interaction on a practical level. It was found that ICMBio tried to develop the living standards of community members in various ways, for example, by offering suggestions for the improvement of livelihoods, and by proposing alternatives for consumptive behaviour. Although the relationship between ICMBio and the community was generally valued by community members, this did not always equal compliance with ICMBio’s rules, or responsiveness to ICBMIO’s suggestions for development. Our results show that although compliance was often suboptimal from a government perspective, biocultural diversity may still be reproduced through close interaction between community and government, and thus conserved. As such, our investigation provides counterweight to the abundant empirical evidence on the harmful social consequences of government interference in local nature governance. A main methodological insight of our work is that a Practice-Based Approach enabled us to detect (non-)compliant behaviour that would have otherwise likely gone unnoticed.
A nomogram model for predicting distant metastasis of newly diagnosed colorectal cancer based on clinical features

Objective Colorectal cancer is one of the most common primary malignancies and the third most common cause of cancer death in both men and women in the United States. Among people diagnosed with initial colorectal cancer, 22% had metastatic colorectal cancer, while the 5-year survival rate was less than 20%. The purpose of this study is to develop a nomogram for predicting distant metastasis in newly diagnosed colorectal cancer patients and to identify high-risk groups. Methods We retrospectively reviewed the data of patients who were diagnosed with colorectal cancer at Zhong nan Hospital of Wuhan University and People’s Hospital of Gansu Province between January 2016 and December 2021. Risk predictors for distant metastasis from colorectal patients were determined by the univariate and multivariate logistic regression analyses. Nomograms were developed to predict the probabilities of distant metastatic sites of colorectal cancer patients and evaluated by calibration curves, receiver operating characteristic curves, and decision curve analysis (DCA). Results A total of 327 cases were included in this study: 224 colorectal cancer patients from Zhong nan Hospital of Wuhan University were incorporated into the training set, and 103 colorectal cancer patients from Gansu Provincial People’s Hospital were incorporated into the testing set. By univariate logistic regression analysis, platelet (PLT) level (p = 0.009), carcinoembryonic antigen (CEA) level (p = 0.032), histological grade (p < 0.001), colorectal cancer tumor markers (p < 0.001), N stage (p < 0.001), and tumor site (p = 0.005) were associated with distant metastasis in colorectal cancer patients. Multivariate logistic regression analysis showed that N stage (p < 0.001), histological grade (p = 0.026), and colorectal cancer markers (p < 0.001) were independent predictors of distant metastasis in patients initially diagnosed with colorectal cancer. The above six risk factors were used to predict distant metastasis of newly diagnosed colorectal cancer. The C-indexes for the prediction of the nomogram were 0.902 (95% confidence interval (CI), 0.857–0.948). Conclusion The nomogram showed excellent accuracy in predicting distant metastatic sites, and clinical utility may facilitate clinical decision-making.
The neural correlates of apathy in the context of aging and brain disorders: a meta-analysis of neuroimaging studies

Introduction Apathy is a prevalent mood disturbance that occurs in a wide range of populations, including those with normal cognitive aging, mental disorders, neurodegenerative disorders and traumatic brain injuries. Recently, neuroimaging technologies have been employed to elucidate the neural substrates underlying brain disorders accompanying apathy. However, the consistent neural correlates of apathy across normal aging and brain disorders are still unclear. Methods This paper first provides a brief review of the neural mechanism of apathy in healthy elderly individuals, those with mental disorders, neurodegenerative disorders, and traumatic brain injuries. Further, following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines, the structural and functional neuroimaging meta-analysis using activation likelihood estimation method is performed on the apathy group with brain disorders and the healthy elderly, aiming at exploring the neural correlates of apathy. Results The structural neuroimaging meta-analysis showed that gray matter atrophy is associated with apathy in the bilateral precentral gyrus (BA 13/6), bilateral insula (BA 47), bilateral medial frontal gyrus (BA 11), bilateral inferior frontal gyrus, left caudate (putamen) and right anterior cingulate, while the functional neuroimaging meta-analysis suggested that the functional connectivity in putamen and lateral globus pallidus is correlated with apathy. Discussion Through the neuroimaging meta-analysis, this study has identified the potential neural locations of apathy in terms of brain structure and function, which may offer valuable pathophysiological insights for developing more effective therapeutic interventions for affected patients.
Utilisation of drugs for the treatment of psychiatric diseases in the pediatric population: focus on off-label use

Psychotropics are increasingly used in pediatrics, often as off-label medicines. The guarantees of safety and efficacy are not always granted in clinical practice compared to adult authorised indications. A retrospective observational study was done to estimate the prevalence of psychotropic use in pediatric subjects of Catalonia (Spain). Anonymised data on dispensation of psychotropics to pediatric patients, demography and other related data were obtained by the local healthcare management for the period 2008–2017. Estimation of off-label use was done through description of drug dispensations with no authorised use related to age range. The prevalence of psychotropics was 40.8–64.2 per 1,000 pediatric inhabitants. Hydroxyzine-only represented two-thirds of dispensations, and when removed, the prevalence dropped to 26.4–32.2 per 1,000 pediatric inhabitants. Adolescents and boys were more likely to receive a psychotropic. Psychostimulants had the highest exposure rate, mainly due to methylphenidate. Off-label use was observed in 12% of subjects, corresponding to 4.6% of all dispensed psychotropics with boys being more exposed. The proportion of off-label use vs. labelled use was higher in younger populations. Aripiprazole had the highest off-label frequency. Our data support the frequent reality of off-label use in pediatrics, despite the potential underestimation related to the selected off-label definition. There is an urgent need to systematically ascertain effectiveness and any potential adverse events in the off-label pediatric setting, and to generate valuable information for risk-benefit assessment in these populations where extrapolation from adults is not reliable.
onVehicle Target Detection Method Based On Deep Convolution Neural Network

In order to solve the problem of complex calculation and low recognition rate in vehicle target detection method and improve the accuracy of vehicle target detection, a vehicle target detection method based on Deep Convolution Neural Network (DCNN) is proposed.With the help of deep learning and based on the Inception structure of the main module of GoogleNet, an 11-layer network structure is designed, and an experiment is carried out on about 20,000 images of the rear of the vehicle.The experimental results show that the proposed method can improve the accuracy of vehicle target detection effectively, and the time consuming is short and the robustness is high.
Development of a targeted amplicon sequencing method for genotyping Cyclospora cayetanensis from fresh produce and clinical samples with enhanced genomic resolution and sensitivity

Outbreaks of cyclosporiasis, an enteric illness caused by the parasite Cyclospora cayetanensis, have been associated with consumption of various types of fresh produce. Although a method is in use for genotyping C. cayetanensis from clinical specimens, the very low abundance of C. cayetanensis in food and environmental samples presents a greater challenge. To complement epidemiological investigations, a molecular surveillance tool is needed for use in genetic linkage of food vehicles to cyclosporiasis illnesses, estimation of the scope of outbreaks or clusters of illness, and determination of geographical areas involved. We developed a targeted amplicon sequencing (TAS) assay that incorporates a further enrichment step to gain the requisite sensitivity for genotyping C. cayetanensis contaminating fresh produce samples. The TAS assay targets 52 loci, 49 of which are located in the nuclear genome, and encompasses 396 currently known SNP sites. The performance of the TAS assay was evaluated using lettuce, basil, cilantro, salad mix, and blackberries inoculated with C. cayetanensis oocysts. A minimum of 24 markers were haplotyped even at low contamination levels of 10 oocysts in 25 g leafy greens. The artificially contaminated fresh produce samples were included in a genetic distance analysis based on haplotype presence/absence with publicly available C. cayetanensis whole genome sequence assemblies. Oocysts from two different sources were used for inoculation, and samples receiving the same oocyst preparation clustered together, but separately from the other group, demonstrating the utility of the assay for genetically linking samples. Clinical fecal samples with low parasite loads were also successfully genotyped. This work represents a significant advance in the ability to genotype C. cayetanensis contaminating fresh produce along with greatly expanding the genomic diversity included for genetic clustering of clinical specimens.
Mapping the time-varying functional brain networks in response to naturalistic movie stimuli

One of human brain’s remarkable traits lies in its capacity to dynamically coordinate the activities of multiple brain regions or networks, adapting to an externally changing environment. Studying the dynamic functional brain networks (DFNs) and their role in perception, assessment, and action can significantly advance our comprehension of how the brain responds to patterns of sensory input. Movies provide a valuable tool for studying DFNs, as they offer a naturalistic paradigm that can evoke complex cognitive and emotional experiences through rich multimodal and dynamic stimuli. However, most previous research on DFNs have predominantly concentrated on the resting-state paradigm, investigating the topological structure of temporal dynamic brain networks generated via chosen templates. The dynamic spatial configurations of the functional networks elicited by naturalistic stimuli demand further exploration. In this study, we employed an unsupervised dictionary learning and sparse coding method combing with a sliding window strategy to map and quantify the dynamic spatial patterns of functional brain networks (FBNs) present in naturalistic functional magnetic resonance imaging (NfMRI) data, and further evaluated whether the temporal dynamics of distinct FBNs are aligned to the sensory, cognitive, and affective processes involved in the subjective perception of the movie. The results revealed that movie viewing can evoke complex FBNs, and these FBNs were time-varying with the movie storylines and were correlated with the movie annotations and the subjective ratings of viewing experience. The reliability of DFNs was also validated by assessing the Intra-class coefficient (ICC) among two scanning sessions under the same naturalistic paradigm with a three-month interval. Our findings offer novel insight into comprehending the dynamic properties of FBNs in response to naturalistic stimuli, which could potentially deepen our understanding of the neural mechanisms underlying the brain’s dynamic changes during the processing of visual and auditory stimuli.