Miracle-dz/UniFAR-FTUs huggingface dataset:
The Safety and Efficacy of Calcitonin Gene-Related Peptide (CGRP) Monoclonal Antibodies for the Preventive Treatment of Migraine: A Protocol for Multiple-Treatment Systematic Review and Meta-Analysis

Background: Migraine is a common and disabling primary headache disorder, associated with many medical comorbidities, highly prevalent, with complex treatment and management. Currently, monoclonal antibodies targeting the trigeminal sensory neuropeptide, calcitonin gene-related peptide (CGRP), are available. The aim of this protocol is to provide a review comparing the effects and safety profile of different monoclonal antibodies in migraine patients. Methods: The literature search will be performed through the MEDLINE, Embase, CENTRAL, ClinicalTrials.gov, the WHO International Clinical Trials Registry Platform (ICTRP), Web of Science and Scopus databases, following the PICO strategy. Real World studies and randomized clinical trials assessing the effect of monoclonal antibodies against CGRP interventions (erenumab, eptinezumab, fremanezumab and galcanezumab) on monthly migraine days (MMD), monthly headache days (MHD), headache impact test (HIT-6) and triptan days of use (TriD) will be included. In Real World studies, the DerSimonian and Laird method will be used to calculate pooled estimates of the mean change difference and in randomized clinical trials, a network meta-analysis will be performed to estimate the comparative effects of different monoclonal antibodies against CGRP. Results: The findings of this study will be reported in a peer-reviewed journal. Conclusions: This study will provide evidence to health professionals on the efficacy and safety of different monoclonal antibodies against CGRP on the outcomes studied.
Length of growing season is modulated by Northern Hemisphere jet stream variability

Atmospheric circulations create regions of similar climate at the land surface across the Northern Hemisphere's mid‐latitudes, while climate controls on plant phenology phases (phenophases) can vary. Here, we quantify and classify the seasonal impacts of the Northern Hemisphere jet stream (NHJ) on vegetation phenophases using novel NHJ indices, designed to characterize latitudinal jet stream position, and satellite‐based vegetation phenology products of length, start, and end of season (LOS, SOS, EOS). We composited years of northern and southern NHJ anomalies in April–May and October–November from LOS, SOS, and EOS and classified ecosystem response based on: latitudinal location relative to the climatological mean (CM) latitude of the NHJ; climate; and land cover type. For nearly a third of the NH, LOS was modulated by NHJ position. The magnitude and direction of NHJ influence on LOS was dependent on the season of NHJ position anomaly. In spring, a northern NHJ, which typically corresponded with warmer temperatures, led to earlier SOS and longer LOS, especially in cold systems north of the NHJ's CM. Surprisingly, in fall, a northern NHJ led to shorter LOS and earlier EOS for most systems, which may be due to the interaction of temperature and water availability in this season when water is critical for sustained growth. Southern NHJ corresponded with similar but opposite effects on phenophases. Crop land cover was mixed in LOS response to NHJ, reflecting the added impact of land‐use and management. The NHJ can synchronize phenology across apparently disparate regions of the Northern Hemisphere. Rather than simply lengthening or shortening seasons as the NHJ moves northward or southward, the influence of the NHJ on phenology at a given location depends on whether the NHJ is limiting resources—which vary relative to the climatological mean. We find that complex patterns in phenology emerge from a relatively simple contingency.
Recent evolution of glaciers in the Cocuy‐Güican Mountains (Colombian Andes) and the hydrological implications

This study extends knowledge of the evolution of glacier shrinkage in the Cocuy‐Güican Mountains since the maximum glacier extent of the Little Ice Age (LIA). Mass balance data for the Ritacuba Glacier since 2009 were acquired and compared with available data for the Conejeras Glacier (Los Nevados National Park). This study also investigated the hydrological significance of Colombian glaciers, which is still largely unknown because the available information is very limited. Glaciers in the Cocuy‐Güican Mountains covered 13.2 km2 in 2019 compared with 127.8 km2 during the maximum LIA, representing a shrinkage of 89.7%. Analysis of glacier cover observations made in 1955, 1994, 2010, and 2019 revealed that the rate of ice loss was greatest from 1994 to 2010 (0.59 km2 yr−1), and was then almost halved from 2010 to 2019 (0.34 km2 yr−1). This slowing of glacier retreat is consistent with the moderate negative mass balance measured for 2009–2019, and an accumulated loss of 1766 mm w.e. (mm water equivalent). The progressive confinement of glaciers to higher elevations, ice accumulation in topographic locations providing shelter from solar radiation, and an absence of recent marked climatic anomalies could explain why the Cocuy‐Güican glaciers have temporally reached a near equilibrium state conditions. This contrasts with the Conejeras Glacier, where 47,000 mm w.e. has been lost in the same period. The available data on runoff and isotope tracers of streamflow and precipitation suggest that precipitation rather than glacier melt water exerts primary control over the hydrological variability at high elevation sites.
Computationally Efficient Topological Mapping With Layered Spanning Trees

Based on layered spanning trees and associated inference algorithms, this article proposes a novel topological mapping approach handling multiple hypotheses, which significantly improves its computational efficiency with merely linear time cost. To facilitate this work, two spanning trees first establish a storage separation of map nodes and map edges. The correspondence between specific nodes and edges, as well as their inheritance, is then organized with intelligent pointers. On this basis, when a new observation is available, the robot will first evaluate loop closure by searching possible matches in the spanning tree of map nodes, which inherently relate to divergent understandings of historical observations. After the evaluation, related hypotheses are re-inferred based on a Bayes-based recursive inference method, and the spanning tree of map edges is updated accordingly. The correctness of hypotheses is sorted probabilistically, and the hypothetical map with the highest probability can be chosen to reconstruct combinatorially with corresponding nodes and edges in the layered spanning trees. To verify the proposed mapping approach, an automated simulation environment is developed modularly for large-scale scenarios, based on the robot operation system. Stress tests are finally carried out with both simulations and experiments, and the results demonstrate that the proposed approach is highly efficient, robust, and scalable. In particular, it effectively reduces the computation, as well as memory consumption, with linear complexity, regarding commonly reported exponential complexity in accumulated works.
What’s wrong with different empowerment? The effect of differentiated empowering leadership on employee proactive service

Differentiated empowering leadership is common in organizations; however, its effect on employee proactive customer service performance remains less understood. Drawing on social comparison theory, this study proposes a multilevel model for how and when differentiated empowering leadership affects employee proactive customer service performance. The study, based on a sample of 228 employees from 77 teams in China, shows a negative relationship between differentiated empowering leadership and employee proactive customer service performance through employee organization-based self-esteem. This indirect relationship is moderated by empowering leadership and employee prosocial motivation. Specifically, the influence of differentiated empowering leadership on employee organization-based self-esteem is more negative when employees receive low empowering leadership, and the relationship between employee organization-based self-esteem and proactive customer service performance is more positive for employees with high prosocial motivation. These findings extend previous knowledge on differentiated empowering leadership and provide practical insights for hotel managers.
Normalized Euclid Distance-Based Network Time-Domain Design Method and Its Application in Short-Pulse Differentiator

A time-domain design method for networks with an arbitrary time-domain response is proposed and applied to design a short-pulse differentiator. The proposed method is termed as WAM because it is actually a waveform approach method (WAM) based on the normalized Euclid distance (NED). The NED could naturally characterize the difference between the desired and actual time-domain signals, including their waveforms and amplitudes. The WAM enables the NED to approach zero by tuning the network parameter for the given network topology and thus the actual time-domain response approaches the desired time-domain response. Also, the WAM is utilized to design a short-pulse differentiator with both magnitude and phase responses. Both the theoretical and experimental results verify the feasibility and validity of the WAM.
Different Nanotechnology Approaches for Ciprofloxacin Delivery Against Multidrug-Resistant Microbes

Abstract The percentages of organisms exhibiting antimicrobial resistance, especially resistance to multiple antibiotics, are incessantly increasing. Studies investigated that many bacteria are being resistant to ciprofloxacin. This review addresses the current knowledge on nano-based ciprofloxacin delivery approaches to improve its effectiveness and overcome the resistance issues. Ciprofloxacin delivery can be modified by encapsulating with or incorporating in different polymeric nanoparticles such as chitosan, PLGA, albumin, arginine, and other organic and inorganic nanostructure systems. Most of these nano-approaches are promising as an alternative strategy to improve the therapeutic effectiveness of ciprofloxacin in the future.
Antifungal Activity of Thymol Against Some Medically Important Fungi

Invasive fungal infections (IFIs) have emerged in the last three decades as an important cause of human disease. These infections treated particularly with triazole such as fluconazole, itraconazole and voriconazole but some serious adverse reactions have been reported in many studies . In vitro activities of 12 essential oils were evaluated against 6 clinically important fungal strains. Thyme oil was the most effective essential oil against all the tested fungal strains and Aspergillus flavus was the most susceptible with inhibition zone diameter and MIC values of 39 mm and 0.25 μg/ml, respectively. Active ingredients of thyme oil were analysed using GC/Mass chromatography and extracted by Thin Layer Chromatography (TLC). Thymol was the most active component against Aspergillus flavus with inhibition zone diameter and MIC values of 44 mm and 0.125 μg/ml, respectively. The inhibitory activity of thymol against Aspergillus flavus was confirmed using Transmission electron microscope.
Predictive and Prognostic Significance of mRNA Expression and DNA Copies Aberrations of ERCC1, RRM1, TOP1, TOP2A, TUBB3, TYMS, and GSTP1 Genes in Patients with Breast Cancer

Increasingly, many researchers are focusing on the sensitivity in breast tumors (BC) to certain chemotherapy drugs and have personalized their research based on the assessment of this sensitivity. One such personalized approach is to assess the chemotherapy’s gene expression, as well as aberrations in the number of DNA copies—deletions and amplifications with the ability to have a significant effect on the gene’s activity. Thus, the aim of this work was to study the predictive and prognostic significance of the expression and chromosomal aberrations of eight chemosensitivity genes in breast cancer patients. Material and methods. The study involved 97 patients with luminal B breast cancer IIB–IIIB stages. DNA and RNA were isolated from samples of tumor tissue before and after treatment. Microarray analysis was performed for all samples on high-density microarrays (DNA chips) of Affymetrix (USA) CytoScanTM HD Array and Clariom™ S Assay, human. Detection of expression level of seven chemosensitivity genes—RRM1, ERCC1, TOP1, TOP2a, TUBB3, TYMS, and GSTP1—was performed using PCR real-time (RT-qPCR). Results. The expression of the RRM1 (AC scheme), TOP2α, TYMS, and TUBB3 genes in patients with an objective response to treatment (complete and partial regression) is higher than in patients with stabilization and progression (p < 0.05). According to our results, the presence of a high level of GSTP1 in a tumor biopsy is associated with the low efficiency of the NAC CP scheme (p = 0.05). The presence of RRM1 deletion is associated with complete and partial regression, as for the TOP1 and TUBB3 genes (p < 0.05). Higher rates of metastatic survival are associated with a high level of expression and amplification of the GSTP1 gene (log-rank test p = 0.02 and p = 0.05). Conclusion. Thus, a complex assessment of the chemotherapy’s gene expression is important not only for understanding the heterogeneity and molecular biology of breast cancer but also to obtain a more accurate disease prognosis.
A review of silver nanowire-based composites for flexible electronic applications

Silver nanowires (Ag NWs) have become a ubiquitous part of flexible electronic devices. The good electrical conductivity of silver, coupled with the excellent ductility and bendability exhibited by the wires make them ideal for flexible devices. Additionally, deposited films of Ag NWs are also found to be transparent due to the incomplete areal coverage of the wires. Thus, Ag NWs are widely used as transparent conducting electrodes (TCEs) for flexible and wearable electronics, replacing the traditionally used metal oxide based TCEs. The properties and functionality of NWs can be further improved by forming composites with other materials. Composites have been synthesized by combining Ag NWs with metals, metal oxides, and polymers. Both dry- and wet-techniques have been used to synthesize and deposit these composites, which have unique structural, chemical, and functional properties leading to myriad applications. This review focuses on recent developments in the field of Ag NW-based composites. An overview of the various fabrication techniques is provided, with a particular focus on coating and printing techniques, which are widely used for depositing Ag NWs. The application of the composites in diverse fields is also discussed. While the most common application for these composites is as TCEs, they are also used in sensors (physical, chemical, and biological), displays, and energy-related applications. The structural and environmental stability of the composites is also discussed. Given the wide interest in the development of printed flexible electronic devices, new Ag NW-based composites and application areas can be expected to be developed going forward.
Comparison of GAN Deep Learning Methods for Underwater Optical Image Enhancement

Underwater optical images face various limitations that degrade the image quality compared with optical images taken in our atmosphere. Attenuation according to the wavelength of light and reflection by very small floating objects cause low contrast, blurry clarity, and color degradation in underwater images. We constructed an image data of the Korean sea and enhanced it by learning the characteristics of underwater images using the deep learning techniques of CycleGAN (cycle-consistent adversarial network), UGAN (underwater GAN), FUnIE-GAN (fast underwater image enhancement GAN). In addition, the underwater optical image was enhanced using the image processing technique of Image Fusion. For a quantitative performance comparison, UIQM (underwater image quality measure), which evaluates the performance of the enhancement in terms of colorfulness, sharpness, and contrast, and UCIQE (underwater color image quality evaluation), which evaluates the performance in terms of chroma, luminance, and saturation were calculated. For 100 underwater images taken in Korean seas, the average UIQMs of CycleGAN, UGAN, and FUnIE-GAN were 3.91, 3.42, and 2.66, respectively, and the average UCIQEs were measured to be 29.9, 26.77, and 22.88, respectively. The average UIQM and UCIQE of Image Fusion were 3.63 and 23.59, respectively. CycleGAN and UGAN qualitatively and quantitatively improved the image quality in various underwater environments, and FUnIE-GAN had performance differences depending on the underwater environment. Image Fusion showed good performance in terms of color correction and sharpness enhancement. It is expected that this method can be used for monitoring underwater works and the autonomous operation of unmanned vehicles by improving the visibility of underwater situations more accurately. Received 6 December 2021, revised 21 December 2021, accepted 30 December 2021 Corresponding author Soo Mee Kim: +82-51-664-3041, smeekim@kiost.ac. kr c 2022, The Korean Society of Ocean Engineers This is an open access article distributed under the terms of the creative commons attribution non-commercial license (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
VIBRATION SIGNAL FEATURE SELECTION BASED ON ANT COLONY OPTIMIZATION

A feature selection algorithm based on ant colony optimization was proposed. A directional graph was designed to suit the algorithm and the feature selection was transformed into searching routes in the graph. A formula for selecting route was given. The Fisher criterion was adopted as heuristic information to improve the searching efficiency. The pheromone on the best route of current iteration cycle and on its equivalent route was enhanced synchronously, so the ordering guidance to ants was strengthened. The effectiveness of the algorithm was tested with an example.
Time Series Ovarian Transcriptome Analyses of the Porcine Estrous Cycle Reveals Gene Expression Changes during Steroid Metabolism and Corpus Luteum Development

Simple Summary The estrous cycle, which is divided into follicular and luteal phases based on ovulation, is influenced by reproductive hormones which affect reproduction and cause changes in the reproductive system of the pig. As the main reproductive organ, the ovary is involved in ovulation and changes in the corpus luteum. We aimed to identify dynamic changes in gene expression through differentially expressed gene profiling and to provide a comprehensive understanding of the molecular mechanisms that occur in the pig ovary during the estrous cycle. The transcriptome analysis revealed that the dynamic change in gene expression was more activated in the luteal phase than in the follicular phase. Functional analysis revealed that the metestrus and diestrus periods are important in preparation for pregnancy or the next estrous cycle after ovulation. Abstract The porcine estrous cycle is influenced by reproductive hormones, which affect porcine reproduction and result in physiological changes in the reproductive organs. The ovary is involved in ovulation, luteinization, corpus luteum development, and luteolysis. Here, we aimed to provide a comprehensive understanding of the gene expression patterns in porcine ovarian transcriptomes during the estrous cycle through differentially expressed genes profiling and description of molecular mechanisms. The transcriptomes of porcine ovary were obtained during the estrous cycle at three-day intervals from day 0 to day 18 using RNA-seq. At seven time points of the estrous cycle, 4414 DEG were identified; these were classified into three clusters according to their expression patterns. During the late metestrus and diestrus periods, the expression in cluster 1 increased rapidly, and steroid biosynthesis was significant in the pathway. Cluster 2 gene expression patterns represented the cytokine–cytokine receptor interaction in significant pathways. In cluster 3, the hedgehog signaling pathway was selected as the significant pathway. Our study exhibited dynamic gene expression changes with these three different patterns of cluster 1, 2, and 3. The results helped identify the functions and related significant genes especially during the late metestrus and diestrus periods in the estrous cycle.
A New Versatile Platform for Assessment of Improved Cardiac Performance in Human-Engineered Heart Tissues

Cardiomyocytes derived from human pluripotent stem cells (hPSC-CMs) hold a great potential as human in vitro models for studying heart disease and for drug safety screening. Nevertheless, their associated immaturity relative to the adult myocardium limits their utility in cardiac research. In this study, we describe the development of a platform for generating three-dimensional engineered heart tissues (EHTs) from hPSC-CMs for the measurement of force while under mechanical and electrical stimulation. The modular and versatile EHT platform presented here allows for the formation of three tissues per well in a 12-well plate format, resulting in 36 tissues per plate. We compared the functional performance of EHTs and their histology in three different media and demonstrated that tissues cultured and maintained in maturation medium, containing triiodothyronine (T3), dexamethasone, and insulin-like growth factor-1 (TDI), resulted in a higher force of contraction, sarcomeric organization and alignment, and a higher and lower inotropic response to isoproterenol and nifedipine, respectively. Moreover, in this study, we highlight the importance of integrating a serum-free maturation medium in the EHT platform, making it a suitable tool for cardiovascular research, disease modeling, and preclinical drug testing.