Miracle-dz/UniFAR-FTUs huggingface dataset:
The first determination and analysis of the complete mitochondrial genome of Ancistrus temmincki (Siluriformes: Loricariidae)

Abstract In order to fully comprehend the evolution and kinship of fishes in the family of Loricariidae, the complete mitochondrial genome of the Loricariidae fish Ancistrus temmincki was firstly characterized in the present study. The whole mitogenome was 16,657 bp in size and consisted of 13 protein-coding genes, 22 tRNAs, 2 rRNAs genes, a control region and origin of light-strand replication. The proportion of coding sequences with a total length of 11,473 bp was 68.88%, which encoded 3,813 amino acids. The genome composition was highly A + T biased (56.29%), and exhibited AT-skew (0.0661) and a negative GC-skew (–0.2740). All protein-coding genes were started with ATG except for GTG in CO1, while stopped with the standard TAN codons or a single T. The control region (D-loop) ranging from 15,635 bp to 16,657 bp was 1023 bp in size. Until now, there is hardly any studies on the complete mitochondrial sequence in the genus of Ancistrus, phylogenetic analysis showed that A. temmincki was most closely related to Ancistrus cryptophthalmus in the genus of Ancistrus. The complete mitochondrial genome sequence has provided a new insight into the taxonomic classification, and a more complex picture of the species diversity within the family of Loricariidae.
Unlocking Technology Adoption for a Robust Food Supply Chain: Evidence from Indian Food Processing Sector

This paper pioneers the identification of artificial intelligence (AI) enablers like technology feasibility, sophistication, data integrity, interoperability and per ceived benefits that can boost operational efficiency of firms in Indian food processing industry. With the food processing industry contributing significantly to do­mestic gross value added and generating an export earning of close to USD 40 billion from agricultural and processed food exports, the study examines the role of AI in overcoming the existing inefficiencies of firms, particularly the small and medium enterprises (SMEs) involved in food processing. For this, questionnaire wascirculated to 500 respondents comprising of IT and supply chain professionals, managers of food processing companies and academicians working in this do main, of which 341 complete responses were received. These responses were then analysed using PLS-SEM modeling, through which the relationship between AI adoption and operational efficiency of firm was established. The study found a significant relationship between AI adoption and operational efficiency. The R square and Q square values substantiate the predictive power of the model used in the study. The research has significant implications for supply chain professionals as technology adoption would boost resilience, integration and transparency of these firms. The study is also relevant for addressing issues pertaining to food security, employment generation, enhancing industrial output and export growth. Policy makers can also get perspectives on harnessing the benefits of AI technology while creating an enabling environment for different supply chain partners.
Transitioning Transdiagnostic CBT from Face-to-Face to Telephone Delivery During the Coronavirus Pandemic: A Case Study

The coronavirus pandemic led to worldwide disruption in the delivery of face-to-face mental health services. This impact was marked for individuals with long-term health conditions and comorbid depression and anxiety. Many face-to-face mental health services switched to remote delivery or paused therapeutic input entirely, despite the lack of research on the efficacy of switching between modalities mid-therapy or having breaks in therapy. This paper presents the case of a patient with long-term health conditions who experienced both breaks in therapy and a switch in modalities from face-to-face to telephone delivery. The intervention used was based on transdiagnostic cognitive behavioral therapy and self-report measures were completed at the beginning and end of the twelve sessions. Despite the shift in modalities, the patient experienced clinically significant recovery on all measures, indicating the efficacy of therapy was not greatly affected by the shift in modalities. Long breaks in therapy were linked to deterioration in mental health, although this could be due to the deterioration in physical health that necessitated these breaks. This case highlights the benefits and challenges of a shifting modality of therapy during treatment and in response to a pandemic for a shielding population. From the work presented here, it seems beneficial for services to be able to work across multiple modalities to suit the needs of the patients and ensure continuity of treatment. It also indicates that pauses in therapy may risk deterioration. Further work is needed to prevent digital exclusion of patients.
Crystal structure and Hirshfeld surface analysis of ((S,S)-2,2′-{[(1,2-diphenylethane-1,2-diyl)bis[(azaniumylylidene)methanylylidene]}bis(6-methoxyphenolato))trinitratosamarium(III)

The asymmetric unit of the title mononuclear ten-coordinated samarium chiral Schiff base complex prepared from o-vanillin, (1S,2S)-(−)-1,2-diphenylethylenediamine and samarium nitrate hexahydrate contains two crystallographically independent molecules.
In-Hospital 30-Day Survival Among Young Adults With Coronavirus Disease 2019: A Cohort Study

Abstract Background Our objective was to characterize young adult patients hospitalized with coronavirus disease 2019 (COVID-19) and identify predictors of survival at 30 days. Methods This retrospective cohort study took place at 12 acute care hospitals in the New York City area. Patients aged 18–39 hospitalized with confirmed COVID-19 between March 1 and April 27, 2020 were included in the study. Demographic, clinical, and outcome data were extracted from electronic health record reports. Results A total of 1013 patients were included in the study (median age, 33 years; interquartile range [IQR], 28–36; 52% female). At the study end point, 940 (92.8%) patients were discharged alive, 18 (1.8%) remained hospitalized, 5 (0.5%) were transferred to another acute care facility, and 50 (4.9%) died. The most common comorbidities in hospitalized young adult patients were obesity (51.2%), diabetes mellitus (14.8%), and hypertension (13%). Multivariable analysis revealed that obesity (adjusted hazard ratio [aHR], 2.71; 95% confidence interval [CI], 1.28–5.73; P = .002) and Charlson comorbidity index score (aHR, 1.20; 95% CI, 1.07–1.35; P = .002) were independent predictors of in-hospital 30-day mortality. Conclusions Obesity was identified as the strongest negative predictor of 30-day in-hospital survival in young adults with COVID-19.
CLoNe: automated clustering based on local density neighborhoods for application to biomolecular structural ensembles

Abstract Motivation Proteins are intrinsically dynamic entities. Flexibility sampling methods, such as molecular dynamics or those arising from integrative modeling strategies, are now commonplace and enable the study of molecular conformational landscapes in many contexts. Resulting structural ensembles increase in size as technological and algorithmic advancements take place, making their analysis increasingly demanding. In this regard, cluster analysis remains a go-to approach for their classification. However, many state-of-the-art algorithms are restricted to specific cluster properties. Combined with tedious parameter fine-tuning, cluster analysis of protein structural ensembles suffers from the lack of a generally applicable and easy to use clustering scheme. Results We present CLoNe, an original Python-based clustering scheme that builds on the Density Peaks algorithm of Rodriguez and Laio. CLoNe relies on a probabilistic analysis of local density distributions derived from nearest neighbors to find relevant clusters regardless of cluster shape, size, distribution and amount. We show its capabilities on many toy datasets with properties otherwise dividing state-of-the-art approaches and improves on the original algorithm in key aspects. Applied to structural ensembles, CLoNe was able to extract meaningful conformations from membrane binding events and ligand-binding pocket opening as well as identify dominant dimerization motifs or inter-domain organization. CLoNe additionally saves clusters as individual trajectories for further analysis and provides scripts for automated use with molecular visualization software. Availability and implementation www.epfl. ch/labs/lbm/resources, github.com/LBM-EPFL/CLoNe. Supplementary information Supplementary data are available at Bioinformatics online.
Intensive outpatient treatment for PTSD: a pilot feasibility study combining prolonged exposure therapy, EMDR, physical activity, and psychoeducation

ABSTRACT Background: Intensive treatment could be effective for patients with post-traumatic stress disorder (PTSD). Objective: The aim of the study was to test the feasibility of an 8-day (2-week) intensive outpatient treatment for PTSD. Method: Treatment each day consisted of individual Prolonged Exposure (PE), Eye Movement Desensitization and Reprocessing (EMDR), and psychoeducation and physical activity in groups. Patients met different therapists from session to session. Results: Six patients started and completed treatment. Levels of attendance of sessions was high. Patients reported that they were satisfied with the treatment, describing it as emotionally taxing, but meaningful. Therapists also described several positive aspects of the treatment format. There were large reductions in PTSD symptoms. Conclusions: Given these promising, but preliminary findings on the programme’s feasibility, future research should investigate this treatment format using larger samples and controlled designs.
Development And Validation Of A Voice Script For Telephone Administration Of THE EORTC QLQ-C30

Purpose The European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life-Core Questionnaire (QLQ-C30) is a widely used generic self-report measure of health-related quality of life (HRQOL) for cancer patients. However, no validated voice script for interviewer-led telephone administration was previously developed that could be used as an alternative to self-completion. The aim of this study was to develop a voice script for interviewer administration via telephone. Methods Following guidelines from the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) PRO Mixed Modes Good Research Practices Task Force, a randomised cross-over equivalence study, including cognitive debriefing, was conducted to assess equivalence between paper and telephone administration modes. Assuming an expected intraclass correlation coefficient (ICC) of 0.70 and a minimally acceptable level of 0.50, a sample size of 63 was required. Results Cognitive interviews with five cancer patients found the voice script to be clear and understandable. Due to a protocol deviation in the first wave of testing, only 26 patients were available for analyses. A second wave of recruitment was conducted, adding 37 patients (n=63; mean age 55.48; 65.1% female). ICCs for mode comparison ranged from 0.72 (nausea and vomiting, 95% CI 0.48-0.86) to 0.90 (global health status/QoL, 95% CI 0.80-0.95; pain, 95% CI 0.79-0.95; constipation, 95% CI 0.80-0.95). For paper versus phone, all ICCs were above 0.70, except nausea and vomiting (95% CI 0.55). For phone versus paper, all ICCs were above 0.70. Conclusions The equivalence testing results support the voice script’s validity for administration of the QLQ-C30 via telephone.
Onionskin waste versus synthetic additives in broiler diet: influence on production indices, oxidative status, caecal bacteria, immune indices, blood chemistry and meat quality

Abstract This study evaluated the influence of dietary supplementation of onionskin waste (OW) and synthetic additives on growth, oxidative status, blood chemistry, caecal bacteria, carcase, immune indices and meat quality in broilers. One day old Ross 308 chicks (n = 280) were randomly allotted to basal diets containing either no additive, B-1; 0.5 g/kg oxytetracyline + 0.13 g/kg tert-butylhydroxyanisole, B-2; 10 g/kg OW, B-3; or 20 g/kg OW, B-4 for 42 days. Supplemented birds had higher (p < .05) body weight gain (BWG) and carcase weight compared to the B-1 birds. Diets had no effect (p > .05) on feed intake and feed efficiency, hematological indices, organ weight and serum immunoglobulin M. Onionskin supplementation repressed (p < .05) abdominal fat, serum total cholesterol, triglycerides, aspartate aminotransferase, muscle cholesterol and splenic interleukin-1β. The additives up-regulated (p < .05) splenic intelukin-10 and down-regulated tumour necrosis factor-α, and serum immunoglobulin A. Caecal Lactobacillus spp. was higher (p < .05) in B-1 and B-3 birds compared with the B-2 and B-4 birds. Supplemented birds had lower (p < .05) caecal Escherichia coli and Salmonella spp. counts than the B-1 birds. Antioxidant enzymes and total antioxidant capacity of breast muscle, liver and serum were higher (p < .05) in the supplemented birds compared with the B-1 birds. On day 1 post-mortem, breast meat malondialdehyde and carbonyl contents were lower (p < .05) in the supplemented birds compared with the B-1 birds. Dietary supplementation with 20 g/kg OW improved BWG and tissue antioxidant status, beneficially altered immune status, and caecal bacteria counts, and reduced abdominal fat, tissue cholesterol, and meat oxidative deterioration in broiler chickens. HIGHLIGHTS Onionskin supplementation improved body and carcase weights and lowered serum and meat cholesterol in broilers. Onionskin enhanced tissue antioxidant enzymes and reduced oxidative deterioration in broilers. Onionskin supplementation altered caecal bacteria and immune status in broilers.
Estimating the Impact of Technical Barriers to Trade in WTO Regime: The Case of Pakistan

Technical Barriers to Trade (TBT) forwarded by World Trade Organisation (WTO) has obstructed world trade patterns; generally, it is conceptualized as non-tariff barrier which impedes trade. In this study, impact of TBT on imports of Pakistan has been estimated. This paper explores how TBT affects import of Pakistan from its trade partner using PPML estimation method to handle zero trade flows and overdispersion of data of Pakistan’s import, based on gravity model. The findings depict that GDP of Pakistan and partners, exchange rate, tariff, distance, and contiguity are vital factors; along with TBT cases initiated by Pakistan have also impacted import from WTO members. The results suggest that Pakistan-initiated TBT and tariff have experienced lower import volume, hence they can be used to administer its ever-increasing trade deficit. The study also presents comparative analysis of TBT and tariff impacts on imports from high income, upper middle, lower middle, and lower income countries as classified by the World Bank.
Pandemic parenting: Predictors of quality of parental pandemic practices during COVID-19 lockdown in Serbia

The aim of our study was to explore relations between parents? and children? s fear of COVID? 19, parents? dispositions (emotion regulation, self-efficacy, the anxiety trait) and their distress (due to the pandemic, the national state of emergency [NSE] and curfews) and how these variables have been affecting the quality of parental pandemic practices during the COVID? 19 NSE in Serbia. Our online questionnaire was filled in by 376 parents and one of their children aged 7 to 19 years. Path analysis was used to analyze data. Higher levels of cognitive reappraisal and self-efficacy directly contribute to a higher quality of parental pandemic practices during NSE. Indirectly, parents? fear, pandemic distress, and parents? cognitive anxiety symptoms increase children? s fear, consequently raising the quality of parental pandemic practices. Pointing out protective and risk factors that may affect pandemic parenting during NSE as well as mechanisms of their contributions, our findings draw attention to the importance of parents? negative emotions regulation and the effects of children? s emotions on the quality of parental pandemic practices during an ongoing pandemic.
Design and Construction of the Oil Palm Fruit Sorting Device Based on Color with PC Display

This research discusses the design and construction of an oil palm fruit sorting tool and a counter for the number of oil palm fruits that work automatically using the working principle of a color sensor. This tool can work automatically because it is controlled by an ATmega328 microcontroller. Overall this system consists of designing a color sensor, motor controller, conveyor, and power supply. Item detection consists of 328 microcontroller technology, color sensor, proximity sensor, LCD, IOT, and PC display. The testing stages of this tool include testing the sensor circuit, testing the servo motor circuit, and testing the automatic oil palm fruit sorting and counting tool. When the oil palm fruit is detected, the color sensor will take data. The captured data will be sent to the microcontroller and displayed to the LCD, IOT and PC. There are additional devices in the form of undercooked, ripe and past ripe separation bars by utilizing a DC servo motor.ATmega328
The evolution of working memory

In this chapter, we suggest that a specific cognitive ability, an enhancement to working memory, was one of the key evolutionary acquisitions in human cognition, and indeed may even be the smoking gun of modernity. We demonstrate that Baddeley’s central executive, a key component of his Working Memory (WM) model, is synonymous with the basic executive functions that underlie the more complex ones such as planning. We then discuss the importance of WM to the modern mind, and how WM might be reflected in the archaeological record.
A research on early warning method of Distribution Network Cyber Physical System

The high integration of cyber and physics is the development trend of intelligent distribution network in the future, but the cyber system not only supports the stable operation of the physical system, also brings some security risks to the cyber physical system of distribution network. Aiming at the requirements of real-time, accuracy, efficiency and other characteristics of distribution network monitoring, this paper proposes an early warning method of distribution network cyber physical system based on Hidden Markov model. Firstly, the online monitoring and early warning system architecture of distribution network information physical system is proposed, and then the early warning method of distribution network cyber physical system based on Hidden Markov model is established. Finally, an example is given to verify that the proposed strategy can accurately and efficiently early warn the fault.
Effect of Anisotropic Yield Functions on Prediction of Critical Process Window and Deformation Behavior for Hydrodynamic Deep Drawing of Aluminum Alloys

Owing to the reduction of rupture instability and the avoidance of wrinkle defect, the hydrodynamic deep drawing (HDD) process is gradually becoming attractive for fabricating lightweight and complicated products. Meanwhile, since metallic materials present anisotropic deformation behavior, it is necessary to select an appropriate constitutive model for the prediction of plastic deformation behavior of applied material with high precision. In the present research, several anisotropic yield criteria, namely, Hill’48, Yld2000-2d, and BBC2005, were implemented to investigate the effects of yield functions on the prediction accuracy of the critical process window and deformation behavior for the HDD process of 2024 and 5754 aluminum alloys. Material constants in the yield criteria were determined by applying uniaxial and equi-biaxial tension tests and optimizing an error-function using the Levenberg–Marquardt algorithm. Furthermore, the process window diagram was computed utilizing the stress analytical model combined material properties with workpiece geometrical features. Numerical simulation results of predicted material anisotropic parameters, process window, and HDD deformation for aluminum alloys were compared with the experimental data. Through the comparison of diverse yield criteria based on materials’ anisotropic coefficients, critical process window prediction, earing profile, and thickness distribution, it was revealed that the Yld2000-2d and the BBC2005 yield criteria can offer more precise models of material behavior in planar anisotropy properties for the HDD process of 2024 and 5754 aluminum alloys.
Experimental Study of Flotation of Fluorite Ore

The ore is high in both fluorite has high content of both fluorite and barite,of that the floatability are similar and hardly to be separated.Using sequential selective flotation process and adding dextrin as main depressant obtain good separation result.In closed circuit test,the concentrate is 96.28% and the recovery is 64.25%.
3-Dimensional porous nanocomposite scaffolds based on cellulose nanofibers for cartilage tissue engineering: tailoring of porosity and mechanical performance†

Fully bio-based 3-dimensional porous scaffolds based on freeze-dried cellulose nanofibers (70–90 wt%) stabilized using a genipin crosslinked matrix of gelatin and chitosan were prepared. Morphology studies using scanning electron microscopy showed that the scaffolds have interconnected pores with average pore diameters of 75–200 μm and nanoscaled pore wall roughness, both favorable for cell interactions with cartilage repair. X-ray tomography confirmed the 3-dimensional homogeneity and interconnectivity of the pores as well as the fibrillar structure of the scaffolds. The compression modulus of the scaffolds (1–3 MPa) at room conditions was higher than natural cartilage (≈1 MPa). The lowered compression modulus of 10–60 kPa in phosphate buffered saline (PBS) at 37 °C was considered favorable for chondrogenesis. The current study therefore successfully addressed the challenge of tailoring the pore structure and mechanical properties simultaneously for cartilage regeneration. Furthermore, the scaffolds' high porosity (≈95%), high PBS uptake and good cytocompatibility towards chondrocytes are considered beneficial for cell attachment and extracellular matrix (ECM) production.