Miracle-dz/UniFAR-FTUs huggingface dataset:
A Comparison of Bevacizumab Plus TAS-102 and TAS-102 Monotherapy for Metastatic Colorectal Cancer: A Systematic Review and Meta-Analysis

Backgrounds As a new oral chemotherapy drug, TAS-102 is currently recommended as the third-line treatment for metastatic colorectal cancer (mCRC). Recently, studies have reported the efficacy of TAS-102 combined with bevacizumab in colon cancer patients after standard treatment fails. Here, we evaluated the efficacy and safety of TAS-102 combined with bevacizumab versus TAS-102 as a single agent by a systematic review and a meta-analysis. Methods PubMed, Web of Science and Cochrane libraries were searched. Studies involving bevacizumab combined with TAS-102 in mCRC were included. Study characteristics (author, year of publication, country et al.), efficacy (disease control rate(DCR), progression-free survival(PFS), overall survival(OS)) and adverse effects were extract from studies. Forest plots were created based on Cox model analysis. Results After screening 550 studies, a total of 3 studies were included, which compared the safety and effectiveness of TAS-102 with or without bevacizumab. Analysis based on Cox regression showed that the combined treatment group had advantages in 6-month (OR= 2.93, 95% CI: 1.72 to 5.00, P<0.0001), 12-month(OR= 2.18, 95% CI: 1.24 to 3.81, P=0.006), and 18-month (OR=3.08, 95% CI: 1.34 to 7.12, P=0.008) OS. The combined treatment group demonstrated superiority in 6-month PFS rates (OR= 2.50, 95% CI: 1.18 to 5.31, P=0.02). The incidence of thrombocytopenia in the dual-drug treatment group was higher (OR= 1.96, 95% CI: 1.14 to 3.36 P=0.01). The proportion of serious adverse events were similar in tow groups (OR= 1.01, 95% CI: 0.76 to 1.34 P=0.93). Conclusion Bevacizumab combined with TAS-102 could improve the prognosis of patients with mCRC who have failed standard treatment. In terms of side effects, the addition of bevacizumab did not increase serious adverse reactions, but the occurrence of thrombocytopenia was worth noting.
A Novel Broadband Forcecardiography Sensor for Simultaneous Monitoring of Respiration, Infrasonic Cardiac Vibrations and Heart Sounds

The precordial mechanical vibrations generated by cardiac contractions have a rich frequency spectrum. While the lowest frequencies can be palpated, the higher infrasonic frequencies are usually captured by the seismocardiogram (SCG) signal and the audible ones correspond to heart sounds. Forcecardiography (FCG) is a non-invasive technique that measures these vibrations via force sensing resistors (FSR). This study presents a new piezoelectric sensor able to record all heart vibrations simultaneously, as well as a respiration signal. The new sensor was compared to the FSR-based one to assess its suitability for FCG. An electrocardiogram (ECG) lead and a signal from an electro-resistive respiration band (ERB) were synchronously acquired as references on six healthy volunteers (4 males, 2 females) at rest. The raw signals from the piezoelectric and the FSR-based sensors turned out to be very similar. The raw signals were divided into four components: Forcerespirogram (FRG), Low-Frequency FCG (LF-FCG), High-Frequency FCG (HF-FCG) and heart sounds (HS-FCG). A beat-by-beat comparison of FCG and ECG signals was carried out by means of regression, correlation and Bland–Altman analyses, and similarly for respiration signals (FRG and ERB). The results showed that the infrasonic FCG components are strongly related to the cardiac cycle (R2 > 0.999, null bias and Limits of Agreement (LoA) of ± 4.9 ms for HF-FCG; R2 > 0.99, null bias and LoA of ± 26.9 ms for LF-FCG) and the FRG inter-breath intervals are consistent with ERB ones (R2 > 0.99, non-significant bias and LoA of ± 0.46 s). Furthermore, the piezoelectric sensor was tested against an accelerometer and an electronic stethoscope: synchronous acquisitions were performed to quantify the similarity between the signals. ECG-triggered ensemble averages (synchronized with R-peaks) of HF-FCG and SCG showed a correlation greater than 0.81, while those of HS-FCG and PCG scored a correlation greater than 0.85. The piezoelectric sensor demonstrated superior performances as compared to the FSR, providing more accurate, beat-by-beat measurements. This is the first time that a single piezoelectric sensor demonstrated the ability to simultaneously capture respiration, heart sounds, an SCG-like signal (i.e., HF-FCG) and the LF-FCG signal, which may provide information on ventricular emptying and filling events. According to these preliminary results the novel piezoelectric FCG sensor stands as a promising device for accurate, unobtrusive, long-term monitoring of cardiorespiratory functions and paves the way for a wide range of potential applications, both in the research and clinical fields. However, these results should be confirmed by further analyses on a larger cohort of subjects, possibly including also pathological patients.
Characterizing Inflammatory Cell Asthma Associated Phenotypes in Dental Health Workers Using Cytokine Profiling

Cytokines elicit a pro-inflammatory response by modifying the airway microenvironment in patients with acute or chronic asthma. The expression pattern of several distinct cytokines could be a useful discriminator in asthma. This study aimed to identify asthma subject groupings based on common inflammatory patterns and to determine the relationship between these identified patterns and asthma-associated clinical indices. A sub-group of 76 dental healthcare workers (HCWs) identified from a larger cross-sectional study of 454 dental HCWs in five dental institutions were evaluated further. A self-administered questionnaire elicited the health and employment history of subjects. Sera were analyzed for atopic status, latex sensitization, and 12 cytokines (IL-1β, 3, 4, 5, 6, 7, 8, 10, 12p70, eotaxin, GM-CSF, TNF-α). Pre and post-bronchodilator spirometry was performed on all HCWs. Data clustering and factor analysis were used to identify inflammatory cluster patterns of cytokines. Associations between the cytokine cluster groupings and relevant asthma-associated clinical indices were determined using multivariate logistic regression. The classification of asthma subtype based on cytokine patterns demonstrated both eosinophilic and neutrophilic inflammatory responses. Four phenotypically distinct subgroups relating to the severity of inflammation (acute or chronic) of the cell types were identified. Cytokine determinants for the neutrophilic subtype included IL-1β, 6, 8, 10, 12p70, and TNF-α whereas for the eosinophilic subtype these included IL-3, 4, 5, 7, eotaxin, and GM-CSF. The multivariate models showed a significant association between work-related chest symptoms and all four inflammatory patterns. However, stronger associations were observed for the acute neutrophilic (OR = 6.00, p < 0.05) compared to acute and chronic eosinophilic responses (OR = 4.30, p < 0.05; OR = 4.93, p < 0.05), respectively. Subjects with airway obstruction were more likely to have a mixed cellular infiltrate. The odds of work-exacerbated asthma were increased in acute or chronic eosinophilia (OR = 7.75 and 8.12; p < 0.05), respectively as well as with acute neutrophilia (OR = 6) sub-type. This study demonstrated that neutrophilic inflammatory cell asthma phenotypes coexist with eosinophilic inflammatory phenotypes suggesting a possible dual pathway for asthma in dental health workers, probably due to mixed exposures to high molecular weight (e.g., latex) and low molecular weight (e.g., acrylates) agents.
Performance analysis of a CO2 recycling system which utilizes solar energy

In this report, a CO2 recycling system is proposed and designed for the purpose of CO2 mitigation through utilization of solar energy (photovoltaic power generation). A performance analysis of the potential of this system for CO2 reduction is performed as one of the life cycle analyses (LCA) of this system. The CO2 emission from building the photovoltaic (PV) power generation facilities represents the largest fraction of CO2 emission and accounts for 81 per cent of the CO2 emission from building of plants. The CO2 balance ratio of the system is approximately 1.4. It clearly reveals that this system would be an effective way to reduce CO2 emissions and to utilize PV power generation as a natural energy source. Copyright © 2001 John Wiley & Sons, Ltd.
Resistance to Durvalumab and Durvalumab plus Tremelimumab Is Associated with Functional STK11 Mutations in Patients with Non–Small Cell Lung Cancer and Is Reversed by STAT3 Knockdown

Nabendu Pore1, Song Wu1, Nathan Standifer1, Maria Jure-Kunkel1, Melissa de los Reyes1, Yashaswi Shrestha1, Rebecca Halpin1, Raymond Rothstein1, Kathy Mulgrew1, Stephen Blackmore1, Philip Martin1, John Meekin III1, Matthew Griffin2, Ina Bisha3, Theresa A. Proia2, Ricardo J. Miragaia4, Ronald Herbst1, Ashok Gupta1, Shaad E. Abdullah1, Rajiv Raja1, Melanie M. Frigault1, J. Carl Barrett1, Phillip A. Dennis1, Maria Libera Ascierto1, and Michael D. Oberst1 ReseaRch aRticle
Optimum Design of Curvilinear Stiffened Panels with Stiffening Beams

The paper presents a framework for design and optimization of curvilinear stiffened panels with any cross-section shape of stiffener. Within this framework, the weight of stiffened panel applied complex loads, is minimized under the constraints of structural responses include global buckling, maximum stress and crippling. Then, a stiffened panel with two blade curvilinear stiffeners is optimized using this framework, and the optimum performs better than another existing design. Finally, it is concluded that stiffening beam is suitable for simulate stiffener sustains part of applied load directly.
Short-Term Load Forecasting Using General Exponential Smoothing

An essential component of a comprehensive, real-time control center for power systems is a method for the calculation of short-term load forecasts. This paper explores the use of general exponential smoothing to develop an adaptive forecasting system based on observed values of integrated hourly demand. A model is developed which offers high accuracy and operational simplicity. Forecasts of hourly MWH load with lead times of one to twenty-four hours are computed at hourly intervals throughout the week. A pragmatic viewpoint is maintained throughout the paper, which includes an analysis of two years of hourly load data, test results for the method developed, and discussions of adjustments for holidays and weather disturbances.
PU-EVA: An Edge-Vector based Approximation Solution for Flexible-scale Point Cloud Upsampling

High-quality point clouds have practical significance for point-based rendering, semantic understanding, and surface reconstruction. Upsampling sparse, noisy and non-uniform point clouds for a denser and more regular approximation of target objects is a desirable but challenging task. Most existing methods duplicate point features for upsampling, constraining the upsampling scales at a fixed rate. In this work, the arbitrary point clouds upsampling rates are achieved via edge-vector based affine combinations, and a novel design of Edge-Vector based Approximation for Flexible-scale Point clouds Upsampling (PU-EVA) is proposed. The edge-vector based approximation encodes neighboring connectivity via affine combinations based on edge vectors, and restricts the approximation error within a second-order term of Taylor’s Expansion. Moreover, the EVA upsampling decouples the upsampling scales with network architecture, achieving the arbitrary upsampling rates in one-time training. Qualitative and quantitative evaluations demonstrate that the proposed PU-EVA outperforms the state-of-the-arts in terms of proximity-to-surface, distribution uniformity, and geometric details preservation.
Application of the continuous wavelet transform on seismic data for mapping of channel deposits and gas detection at the CO2SINK site, Ketzin, Germany

Conventional seismic data are band limited and therefore, provide limited geological information. Every method that can push the limits is desirable for seismic data analysis. Recently, time‐frequency decomposition methods are being used to quickly extract geological information from seismic data and, especially, for revealing frequency‐dependent amplitude anomalies. Higher frequency resolution at lower frequencies and higher temporal resolution at higher frequencies are the objectives for different time‐frequency decomposition methods. Continuous wavelet transform techniques, which are the same as narrow‐band spectral analysis methods, provide frequency spectra with high temporal resolution without the windowing process associated with other techniques. Therefore, this technique can be used for analysing geological information associated with low and high frequencies that normally cannot be observed in conventional seismic data. In particular, the continuous wavelet transform is being used to detect thin sand bodies and also as a direct hydrocarbon indicator. This paper presents an application of the continuous wavelet transform method for the mapping of potential channel deposits, as well as remnant natural gas detection by mapping low‐frequency anomalies associated with the gas. The study was carried out at the experimental CO2 storage site at Ketzin, Germany (CO2SINK). Given that reservoir heterogeneity and faulting will have significant impact on the movement and storage of the injected CO2, our results are encouraging for monitoring the migration of CO2 at the site. Our study confirms the efficiency of the continuous wavelet transform decomposition method for the detection of frequency‐dependent anomalies that may be due to gas migration during and after the injection phase and in this way, it can be used for real‐time monitoring of the injected CO2 from both surface and borehole seismics.
Online business social network e strumenti per la gestione delle relazioni di business nelle PMI

Lo sviluppo tecnologico negli ultimi anni ha creato nuove opportunita di business per le imprese rendendo piu efficienti i processi interni alle organizzazioni e consentendo di individuare nuovi e piu potenti strumenti per condurre e sviluppare business di successo. L’accelerazione del Web 2.0 ha fatto emergere aspetti gestionali e di marketing circa la possibilita di superare gli schemi di commercializzazione di tipo push attraverso strumenti tecnologici innovativi Internet-based. Il nostro articolo mette in evidenza come uno strumento di tipo Business Social Network possa aiutare le PMI a consolidare una valida Social Media Strategy e migliorare il proprio network di relazioni.
Influence of losses and dispersion of the reference line of LRM on the parasitic and intrinsic element values of on‐wafer transistors

In this paper, the parasitic and intrinsic elements of the coplanar PHEMTs are determined from S‐parameter measurements corrected using the classical LRM calibration technique and the improved LRM with a reference line of arbitrary length. For the first time to our knowledge, it is demonstrated that the classical LRM calibration technique overestimates the parasitic inductances. © 2006 Wiley Periodicals, Inc. Microwave Opt Technol Lett 48: 701–705, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.21448
Teaching Kazakh novels with electronic book applications; Teacher and student opinions

Changes in the understanding of Education have led to the emergence of new approaches to teaching, strategies for teaching teachers, tools, methods and techniques. The purpose of this study is to evaluate the preparation of Kazakh novels for a book with electronic additions from the point of view of teachers and students. This study is based on high-quality research models, real scientific models. To collect data, the researcher created a semi-structured type of interview with the teacher and a semi-structured type of interview with the student. Study participants include 25 literature teachers from Almaty and Kazakhstan secondary schools and 122 students from various secondary schools. The study was conducted in the 2020-2021 academic year. As a result of the study, part of reading Kazakh novels in print or electronic form was evaluated, and it was noted that the teacher likes printed stories. The results of students ' responses also show that reading printed Kazakh stories is higher than reading electronic Kazakh teaching. Keywords: e-book; Kazakh stories; myth; Kazakh mythology; memories of students; memories of teachers.
Full nonlinear analysis of detector circuits using Ritz-Galerkin theory

The Ritz-Galerkin method provides an algebraic approach to the large-signal analysis of exponential-diode detector circuits that avoids the limitations imposed by truncated series approximation. The resulting closed-form algebraic expressions account for the details of operation in both the square-law and linear regions, and are consistent with numerical simulations. Greater-than-square-law slopes are seen under certain conditions, in agreement with numerical simulations. At high input levels the results approach the predictions of a piecewise-linear analysis. <<ETX>>
Soil loss vulnerability: the case study of Aghien lagoon watershed outskirts Abidjan city (Côte d'Ivoire)

Abstract. Aghien lagoon is a source of fresh water outskirts of Abidjan city in the south of Côte d'Ivoire. For a better understanding of its functioning, we proposed to estimate its main tributaries (Bété and Djibi) soil loss during 2016 and 2017 as part of our research activities in the lagoon watershed in order to evaluate its vulnerability face to soil loss. The methodological approach is based on USLE (Universal Soil Loss Equation) incorporated into GIS (Geographic Information Systems). This equation takes into account five key factors: the erosivity of rainfall, the soil erodibility, the topographic factor integrating slope length and steepness, the cover-management factor and the support practice factor. The combination of these factors made it possible to obtain soil loss maps of the lagoon main tributaries. The analysis of them revealed that soil loss varying mostly between 0 and 250 t ha−1 yr−1 in 2016 and 2017. With regard to the two years, the vulnerability of the lagoon face to soil loss is “low” category. In fact, the soil loss class ranging from 0 to 20 t ha−1 yr−1 occupies more than 60 % of the two sub-basins area in 2016. This trend increased in 2017 with equivalent of 71 % of the area. On the over hand, the “very high” vulnerability ranging from 250 to 1050 t ha−1 yr−1, occupied in 2016, only 0.01 % of the area. In 2017, this category of vulnerability increased in intensity, occupying 0.05 % of it. Ultimately, the increasing observed in 2016 and 2017 seems to be related to annual rainfall of respectively 1553 and 2198 mm. The case study of Aghien lagoon, soil loss vulnerability can be improved by taking account a long time series of rainfall and land use data.
Machine‐Learning Based Reconstructions of Past Regional Sea Level Variability From Proxy Data

The analysis of past regional climate‐related sea level variations has important implications for diagnosing changes in future sea level driven by climate fluctuations. As the climate changes, there is a need for new explanatory variables of within‐region climate factors and for more complex methods able to identify nonlinear relationships, such as machine learning algorithms. This study demonstrates the application of a new machine learning‐based methodology to reconstruct historical sea level tide gauge records from proxy data (i.e., upper‐ocean temperature estimates in open ocean regions), which provide a reasonably good dynamical representation of coastal sea level variations linked to slow and persistent natural processes like internal climate variability. The learning performance of our method was evaluated against observations of multiple stations and across a variety of model reconstructions, as shown and evidenced by the results.
Reinforcement Learning-Based Routing Protocol for Underwater Wireless Sensor Networks: A Comparative Survey

Underwater wireless sensor networks (UWSNs) have emerged as a promising networking technology owing to their various underwater applications. Many applications require sensed data to be routed to a centralized location. However, the routing of sensor networks in underwater environments presents several challenges in terms of underwater infrastructure, including high energy consumption, narrow bandwidths, and longer propagation delays than other sensor networks. Efficient routing protocols play a vital role in this regard. Recently, reinforcement learning (RL)-based routing algorithms have been investigated by different researchers seeking to exploit the learning procedure via trial-and-error methods of RL. RL algorithms are capable of operating in underwater environments without prior knowledge of the infrastructure. This paper discusses all routing protocols proposed for RL-based UWSNs. The advantages, disadvantages, and suitable application areas are also mentioned. The protocols are compared in terms of the key ideas, RL designs, optimization criteria, and performance-evaluation techniques. Moreover, research challenges and outstanding research issues are also highlighted, to indicate future research directions.
Exclusion and the strategic leadership role of SENCos in England: planning for Covid‐19 and future crises

A small‐scale study investigated the role of SENCos in England immediately prior to, during and following the first closure of schools nationally in March 2020 due to the Covid‐19 pandemic. A mixed‐methods research strategy comprising semi‐structured interviews and a national online survey generated data related to SENCos' involvement in strategic planning for crisis conditions, focusing specifically on students with special educational needs and disabilities (SEND) and concerns about exclusionary practices. Findings suggest that pandemic conditions have exacerbated familiar issues related to the SENCo role and SEND provision in English schools, such as engagement in reactive firefighting, onerous workloads, uneven SENCo involvement in strategic planning, and schools' failure to prioritise students with SEND. Minimal evidence of ‘advocacy leadership’ or of SENCos challenging exclusionary practices was found. As in earlier research, evidence was also found for disparities between anecdotal and published data relating to illegal exclusion.
Measurement of Lateral Transmission of Force in the Extensor Digitorum Longus Muscle of Young and Old Mice

The main function of skeletal muscles is to generate force. The force developed by myofiber contraction is transmitted to the tendon. There are two pathways of force transmission from myofibers to tendons: longitudinal transmission that depends on tension elicited via the myotendinous junction and lateral transmission that depends on shear elicited via the interface between the myofiber surface and surrounding connective tissue. Experiments using animal muscle and mathematical models indicated that lateral transmission is the dominant pathway in muscle force transmission. Studies using rat muscle showed that the efficiency of lateral force transmission declines with age. Here, the lateral transmission of force was measured using the extensor digitorum longus muscle from young and old mice. Dependence on longitudinal transmission increased in the old muscle, and there was a trend for lower efficiency of lateral force transmission in the old muscle compared to the young muscle. There was a noticeable increase in the connective tissue volume in the old muscle; however, there was no significant change in the expression of dystrophin, a critical molecule for the link between the myofiber cytoskeleton and extracellular matrix. This study demonstrates the measurement of lateral force transmission in mouse muscles and that alteration in force transmission property may underlie age-related muscle weakness.