Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparing the effectiveness of long-term use of daily and weekly glucagon-like peptide-1 receptor agonists treatments in patients with nonalcoholic fatty liver disease and type 2 diabetes mellitus: a network meta-analysis

Objective In the present network meta-analysis (NMA), we aimed to compare the effectiveness of daily and weekly treatment with glucagon-like peptide-1 receptor agonists for patients with nonalcoholic fatty liver disease (NAFLD) and type 2 diabetes mellitus (T2DM). Method We used Stata 17.0 for the NMA. Eligible Randomized controlled trials (RCTs) were searched in PubMed, Cochrane, and Embase databases until December 2022. Two researchers independently screened the available studies. The Cochrane Risk of Bias tool was used to assess the risk of bias in the included studies. We used GRADEprofiler (version3.6) to analyze the evidence certainty. Primary outcomes such as liver fat content (LFC), aspartate aminotransferase (AST), and alanine aminotransferase (ALT) levels, as well as secondary outcomes such as γ-glutamyltransferase (γGGT) and body weight, were evaluated. Then, each intervention was ranked by the surface under the cumulative ranking curve (SUCRA). As a supplement, we drew forest plots of subgroup using RevMan (version 5.4). Results Fourteen RCTs involving 1666 participants were included in the present study. The NMA results showed that exenatide (bid) was the best treatment for improving LFC compared with other agents, liraglutide, dulaglutide, semaglutide (qw) and placebo), and the SUCRA values were 66.8%. Among five interventions (except exenatide (bid) and semaglutide (qw)) evaluated for AST outcome, and six interventions (except exenatide (bid)) evaluated for ALT outcome, semaglutide (qd) was the most effective drug (SUCRA (AST) = 100%, SUCRA (ALT) = 95.6%). The result of LFC in daily group was MD = -3.66, 95% CI [-5.56, -1.76] and in weekly GLP-1RAs group, it was MD = -3.51, 95% CI [-4, -3.02]. As to AST and ALT, the results in daily group versus weekly group were AST: MD = -7.45, 95% CI [-14.57, -0.32] versus MD= -0.58, 95% CI [-3.18, 2.01] and ALT: MD = -11.12, 95% CI [-24.18, 1.95] versus MD = -5.62, 95% CI [-15.25, 4]. The quality of evidence was assessed as moderate or low. Conclusion The daily GLP-1RAs may be more effective in primary outcomes. And the daily semaglutide may be the most effective treatment for NAFLD and T2DM among the six interventions.
Project knowledge management in local government organisations

Purpose: The purpose of this paper is to identify the importance of project knowledge management in local government organisations in Poland. Design/methodology/approach : The analysis carried out for this paper included a literature analysis, survey research and analysis of the research results. The hypotheses set for the research were verified using statistical methods on the basis of the collected data from a questionnaire survey addressed to randomly selected district offices and town halls in Poland. Findings: Based on the literature review, the paper confirms the relevance of knowledge management and project knowledge management in the activities and development of organisations. Based on the results of the study, it can be concluded that local government organisations in Poland manage project knowledge because they are aware of its importance in effective project management. Originality/value: Project knowledge management is not only important in companies, but also in local government organisations for effective project management. Collecting and documenting project knowledge and experiences from projects helps to reduce errors during subsequent projects.
Combining the Forwarding with Delay Slots Operations to Avoid the Branch Misprediction Penalty in Superscalar Processors

Using pipeline system in modern possessors has contributed significantly to the development of processors performance by increasing its speed faster than before, where CPI approaches to 1, however, this technique accompanied many problems, one of them called Branch Misprediction penalty due to control hazard, most of them occurs when implementing dynamic branch prediction. For every five jump commands of a program there is jump command, which causes interruption of the execution of orders through pipeline systems. There are many proposed previews studies, such as Dynamic Branch Prediction and Control Speculation, NTB Branch Predictor: Dynamic Branch Predictor for High-Performance Embedded Processors. This paper presents a new mechanism to combine forwarding and delay slots together to avoid a Branch Misprediction Penalty in Superscalar Processors, it's got better results
Multifractal Characteristics of Intermittent Turbulence in the Urban Canopy Layer

Abstract The multifractality of energy and thermal dissipation of fully developed intermittent turbulence is investigated in the urban canopy layer under unstable conditions by the singularity spectrum for the fractal dimensions of sets of singularities characterizing multifractals. In order to obtain high-order moment properties of small-scale turbulent dissipation in the inertial range, an ultrasonic anemometer with a high sampling frequency of 100 Hz was used. The authors found that the turbulent signal could be singular everywhere. Moreover, the singular exponents of energy and thermal dissipation rates are most frequently encountered at around 0.2, which is significantly smaller than the singular exponents for a wind tunnel at a moderate Reynolds number. The evidence indicates a higher intermittency of turbulence in the urban canopy layer at a high Reynolds number, which is demonstrated by the data with high temporal resolution. Furthermore, the temperature field is more intermittent than the velocity field. In addition, a large amount of samples could be used for verification of the results.
MaOMFO: Many-objective moth flame optimizer using reference-point based non-dominated sorting mechanism for global optimization problems

Many-objective optimization (MaO) deals with a large number of conflicting objectives in optimization problems to acquire a reliable set of appropriate non-dominated solutions near the true Pareto front, and for the same, a unique mechanism is essential. Numerous papers have reported multi-objective evolutionary algorithms to explain the absence of convergence and diversity variety in many-objective optimization problems. One of the most encouraging methodologies utilizes many reference points to segregate the solutions and guide the search procedure. The above-said methodology is integrated into the basic version of the Moth Flame Optimization (MFO) algorithm for the first time in this paper. The proposed Many-Objective Moth Flame Optimization (MaOMFO) utilizes a set of reference points progressively decided by the hunt procedure of the moth flame. It permits the calculation to combine with the Pareto front yet synchronize the decent variety of the Pareto front. MaOMFO is employed to solve a wide range of unconstrained and constrained benchmark functions and compared with other competitive algorithms, such as non-dominated sorting genetic algorithm, multi-objective evolutionary algorithm based on dominance and decomposition, and novel multi-objective particle swarm optimization using different performance metrics. The results demonstrate the superiority of the algorithm as a new many-objective algorithm for complex many-objective optimization problems.
Improvements to ATLAS track reconstruction for Run-2

Run-2 of the LHC will provide new challenges to track and vertex reconstruction with higher energies, denser jets and higher rates. In addition, the Insertable B-layer (IBL) is a fourth pixel layer, which has been inserted at the centre of ATLAS during the shutdown of the LHC. Improvements to track reconstruction developed during the two year shutdown of the LHC are discussed. These include novel techniques developed to improve the performance in the dense cores of jets, optimisation for the expected conditions, and a big software campaign which lead to a factor of four decrease in the CPU time needed to process each recorded event. The commissioning of the detector in preparation for Run-2 using cosmic data and collision data are presented.
On the Complexity of Convex and Reverse Convex Prequadratic Constraints

Motivated by satisfiability of constraints with function symbols, we consider numerical inequalities on non-negative integers. The constraints we address are a conjunction of a linear system Ax = b and an arbitrary number of (reverse) convex constraints of the form xi ≥ xdj (xi ≤ xdj ). We show that the satisfiability of these constraints is NP-complete even if the solution to the linear part is given explicitly. As a consequence, we obtain NP- completeness for an extension of certain quantifier-free constraints on sets with cardinalities and function images.
Comparison of Harmonic Generation from Crystalline and Amorphous Gallium Phosphide Nanofilms

Gallium phosphide (GaP) is a promising material for nanophotonics, given its large refractive index and a transparency over most of the visible spectrum. However, since easy phase‐matching is not possible with bulk GaP, a comprehensive study of its nonlinear optical properties for harmonic generation, especially when grown as thin films, is still missing. Here, second harmonic generation is studied from epitaxially grown GaP thin films, demonstrating that the absolute conversion efficiencies are comparable to a bulk wafer over the pump wavelength range from 1060 to 1370 nm. Furthermore, the results are compared to nonlinear simulations, and the second order nonlinear susceptibility is extracted, showing a similar dispersion and magnitude to that of the bulk material. Furthermore, the third order nonlinear susceptibility of amorphous GaP thin films is extracted from third harmonic generation to be more than one order of magnitude larger than that of the crystalline material, and generation of up to the fifth harmonic is reported. The results show the potential of crystalline and amorphous thin films for nonlinear optics with nanoantennas and metasurfaces, particularly in the visible to near infrared part of the spectrum.
A Soft Continuum Robot with Multi-Modal Shape and Contact Force Sensing for Minimally Invasive Surgery

Minimally invasive surgery (MIS), e.g., interventional endoscopy and single-incision laparoscopy, has paved the way toward increased patient safety, fewer postop- erative complications, and shorter recovery times [1]. The inherent compliant nature of soft robots makes them suitable for addressing current limitations in MIS, such as the lack of dexterity of rigid robotic devices; however, soft robots often lack adequate shape and contact sensing which makes them difficult to control [2], [3]. The future of laparoscopic surgical tools is moving toward flexible and soft robotic solutions for safer interaction with hu- man tissue [4]. However, newly developed technologies lack effective embedded sensing [5]. This work presents a fully soft robot combining i) a soft optical sensorized multi-modal gripper for tip tracking and contact force sensing with ii) a multi-directional bending module with integrated 3D shape sensing (Fig. 1, a-b). The gripper embeds two soft pneumatic actuators to deploy the jaws, two soft pneumatic actuators to control grasping, and two fully soft optical waveguide sensors (WG) (one in each jaw) with tuned roughness to monitor both actuator tip positions and subsequent contact force on an object.
Psychotherapy and Antidepressant Treatment Effects on the Functional Neuroanatomy of Depression

The present review examines the functional neural correlates of the effects of antidepressant medication as well as psychological therapy in depression. There has been considerable evidence to suggest that antidepressant medications normalize dysfunctional activity in limbic regions, in particular the amygdala, as well as in subcortical and prefrontal regions in patients during processing of emotional and cognitive stimuli. Fewer studies to date have examined psychotherapy related brain changes in patients with depression, with some evidence for amygdala-hippocampal reductions following psychological therapies. There may be potential common therapeutic mechanisms of action with antidepressants and psychotherapy. The specificity of effects related to pharmacological and psychological therapies as well as to different classes of pharmacotherapy and effects due to improvements in the severity of depressive symptoms requires further investigation. Anterior cingulate activity as a predictor of clinical response before initiation of antidepressant treatment has been highly replicated, while evidence from CBT has been mixed. In order to derive clinical applications from these findings, machine learning methods have been applied to ascertain diagnosis and prognosis at the individual level with high accuracy. Future research should also aim to investigate whether integration of neuroimaging biomarkers based on multiple neural processes, such as affective and cognitive processing and structural neuroimaging, would achieve more accurate classification. This would help to optimize treatment strategies which are particularly important for those patients who may be less likely to benefit from the usual initial therapies.
GM(1,1) prediction model based on intuitionistic fuzzy numbers

In the field of grey system theory, there is no the research on the grey prediction model based on the sequences of intuitionistic fuzzy numbers. The GM(1,1) grey prediction model of the sequences of intuitionistic fuzzy numbers is constructed by utilizing the score function and hesitant degree of intuitionistic fuzzy numbers. Then the membership function and the non-membership of intuitionistic fuzzy numbers are obtained by the prediction model. By using the method, the prediction of intuitionistic fuzzy numbers can be realized. Finally, an example shows the feasibility and effectiveness of the proposed method. The grey prediction model of intuitionistic fuzzy numbers enriches the grey system theory and extends the applied scope of the grey prediction model.
Location Optimization for Community Smart Parcel Lockers Based on Bilevel Programming

With the rapid development of e-commerce and the dramatic upsurge in direct-to-consumer deliveries, the last-mile problem has become increasingly apparent. With the distinct advantages of bringing economies of scale and providing 24/7 contactless self-service, smart parcel lockers play a critical role in solving the last-mile problem. However, due to a lack of planning, myopia expansion, and an ambiguous profit model, smart parcel locker suppliers in China have been suffering huge economic losses, restricting their further development. In the study, on the basis of an in-depth analysis of the cost elements and major revenue sources of smart parcel lockers, we propose a bilevel programming model to optimize the location of community smart parcel lockers with the upper-level model maximizing the profit of a third-party smart parcel locker supplier and the lower-level model maximizing user satisfaction. Then, a solution algorithm based on the genetic algorithm is proposed. Finally, some numerical experiments are carried out based on a medium-scale residential community in Jiading District, Shanghai. The sensitivity analyses conducted in this study reveal how the user satisfaction evaluation and the investment budget influence the expected profit. The modelling framework and numerical results can provide third-party smart parcel locker suppliers with significant theoretical support and practical guidance on planning the investment budget and optimizing the smart parcel locker locations to maximize their profit.
Do IFRS convergence affects firm performance? Picturing Indian-listed manufacturing firms

PurposeThe study has endeavored to assay the nexus between the converged version of the International Financial Reporting Standards (IFRS) on the performance of the Indian-listed manufacturing firms.Design/methodology/approachThe study has randomly accessed the data of the Bombay Stock Exchange (BSE) listed Indian manufacturing firms using the Prowess IQ database. It has covered 2014–2016 as pre-IFRS and 2017–2020 as the post-IFRS convergence period. Moreover, the study has followed a longitudinal research design with cross-sectional time-series data and has used the difference-in-difference (DiD) technique to assess the effect of the IFRS convergence on firm performance (FP). FindingsThe results have indicated that the adoption of the Indian Accounting Standards (Ind AS) has unlikely reported better FP. It has concurred policy implications as full adoption rather than convergence could reap the benefits of the IFRS.Originality/valueIt has contributed to the existing body of knowledge by assaying the effect of the IFRS convergence on FP in developing economies like India using the DiD methodology. The study is an original piece of research and is free from plagiarism.
Scrutinizing the Homo Sapiens Gene-Gene Interactions in Sex Chromosomes: A Network Model

: The sex chromosomes X and Y participate in determining the sex of humans. These chromosomes contain many genes that contribute to a variety of body functions. Homo sapiens (human) genes have been widely studied in the literature. Most of the studies have been conducted on the interactions among genes and their relations to diseases. Therefore, the genes of a chromosome or across chromosomes may have relations to each other. Understanding these relations is important insofar as they contribute to a wider view of diseases. This work tries to scrutinize the homo sapiens gene-gene interactions in the sex chromosomes. More precisely, we generate a network model of the interactions between the genes in the sex chromosomes and the genes of other chromosomes. The nodes of the generated network represent the genes in chromosomes X and Y. An edge between two genes is generated if there exists an interaction between both. The generated model demonstrates interesting facts about the relations among genes. Finally, it can be of interest for biologists to look at such models for a more understanding of the interactions among genes and their relations to diseases.
Evaluation of Serum Cortisol Levels and Response to Cosyntropin Test in Methadone-treated Opium Addicts

Background Opium has been used for thousands of years for medical and analgesic purposes, and its misuse has also increased in recent years. Methadone, a synthetic opioid, has been used as an analgesic and to help patients quit opium addiction. However, some evidence suggests that long-term use of opioids can affect the hypothalamic-pituitary-adrenal axis. Objectives We aimed to evaluate the serum cortisol level and response to the cosyntropin stimulation test in opium addicts on methadone treatment. Methods The study was conducted in November 2019 at Imam Reza Hospital Rehab Center, Birjand, Iran. Thirty-eight methadone-treated opium addicts participated in the study. A blood sample was initially obtained, then 250 µg intramuscular cosyntropin was injected. After 30 and 60 minutes, two other blood samples were obtained. The data were analyzed using SPSS. Results There was a significant difference between serum cortisol levels and the normal value in methadone users (9.46 ± 5.42 vs. 14 µg/dL) (P < 0.001). The mean response to the cosyntropin stimulation test in methadone users was 9.34 ± 8.11 µg/dL. Also, 55% of the participants had adrenal insufficiency. Conclusions Serum cortisol levels significantly differed from normal values in methadone-treated patients. Therefore, we recommend measuring serum cortisol levels in methadone-treated patients before major medical procedures to consider the stress doses of corticosteroids.
Incident Angle Study for Designing an Endoscopic Tool for Intraoperative Brain Tumor Detection

Surgery is one of the most prevalent methods of control- ling and eradicating tumor growth in the human body, with a projection of 45 million surgical procedures per year by 2030 [1]. In brain tumor resection surgeries, pre- operative images used for the detection and localization of the cancer regions become less reliable throughout surgery when used intraoperatively due to the brain moving during the procedure, referred to as brain shift. To solve the brain shift problem, intraoperative MRI (iMRI) has been used, but it is costly, time intensive, and only available at the most advanced care facilities [2]. Intraoperative fluorescence-guided methods, both exoge- nous (introducing foreign fluorophore molecules into the body) and endogenous (utilizing innate fluorophores within the body), have been investigated as an alternative to iMRI to circumvent the brain shift problem. This paper introduces the proposed design, shown in Fig. 1(a), of an endoscopic tool for intraoperative brain tumor detection incorporating a laser-based endogenous fluorescence method previously explored by [3], called TumorID, depicted in Fig. 1(b). The device has also been deployed on ex-vivo pituitary adenoma tissue by [4] for intraoperative pituitary adenoma identification and subtype classification. This study explores whether a non-perpendicular angle of incidence (AoI) will sig- nificantly affect the emitted spectral data. With a better understanding of the relationship between AoI and col- lected spectra, the results can help shed light on the potential steering modality ( optical [5] or fiber [6]) and end-effector movement profile for the proposed optics- based endoscopic tool.
One Stage Procedure versus Two Stages Procedure in Management of Obstructed Non-Perforated Cancer Colon

Background: The surgical management of large bowel emergency patients remains controversial. However, there has been an increasing trend toward primary reconstructive surgery. Objective: To evaluate one-stage procedure versus two-stage procedure in cases presented with obstructed nonperforated cancer colon in terms of operative time, hospital stay, postoperative complications, peri-operative mortality, and quality of life. Patients and methods: A prospective randomized study was conducted at Emergency Mansoura University Hospitals. A total of 50 cases diagnosed with obstructed nonperforated cancer colon were randomly allocated into two groups; the first group included 25 cases who underwent the one-stage approach, and the second one included the remaining 25 cases who underwent the two-stage approach. Results: Although the two-staged approach showed an increase in operative time compared to the single-stage approach (174.88 vs. 163.84 min, respectively), that difference was statistically insignificant (P 1⁄4 0.102). Hospital stay showed significant prolongation in the single-stage group (5.8 vs. 3.88 days in the two-stage group e P < 0.001). No significant difference was detected between the study groups regarding postoperative complications. Mortality was encountered only in one case in the one-stage group (4%) due to pulmonary embolism. The prevalence of patient dissatisfaction was significantly higher in the two-stage group (48%) compared to the single-stage group (12%). Conclusion: We concluded no significant increase in perioperative morbidity or mortality rates in the one-stage procedure compared to the staged one when applied for obstructed cancer colon patients.