bluuebunny/crossref_metadata_2025 huggingface dataset:
Improvement of Sub-Wavelength Grating Electrodes for Efficient Terahertz Photoconductive Antenna Based on Extraordinary Optical Transmission
Authors: liu Xiaolan , Chong Shiyao , Qu Yuwei , Han Yanzhen
Published: June 2023

Low efficiency of Terahertz (THz) radiation and radiation power have limited the development of THz Science and Technology. Thus, with the aims of achieving greater photoconductive current and improving radiation characteristics of THz photoconductive antenna (PCA), this study utilized Extraordinary Optical Transmission (EOT) of light passing through various subwavelength metal structures to control and restrain the light wave in subwavelength scale. Furthermore, by grooving the grating electrode structure, the influence of metal grating’s EOT on the transmission field of PCA were investigated and analyzed. Simulation results show that the effect of local electric field enhancement is significant. When the incident power is 0.1[Formula: see text]W, the peak value of the local electric field reaches [Formula: see text][Formula: see text]V/m. In addition, comparing to the grating electrode with no groove structure in which the field intensity was less than [Formula: see text][Formula: see text]V/m, the local electric field increased by 16.4 times, respectively. Correspondingly, the photocurrent intensity of the improved photoconductive plasmonic structure is increased by 72.3 times. In conclusion, the improved plasma photoconductive structure was shown to obviously enhance the transmission field strength of semiconductor materials and the current of the PCA, and accordingly, to improve the THz radiation capability.
A Behavioral Mode-Driven Educational Management Assessment Method Using Convolution Neural Network
Authors: Hu Nan , Zheng Bing
Published: June 2023

Neural network innovation has become widely employed in many spheres of society, including education, due to the rapid growth of today’s global technologies and science. Promoting and interpreting wealth creation as a fundamental aspect is necessary. Education must implement efficiency of the management creation and use novel technological and scientific resources to increase the level of management of teaching in this circumstance. The level of management over education systems may also be effectively increased, complementing the framework to manage students’ academic development. An adequate learning idea, a specific instructional orientation, higher academic inspiration, joy of knowledge, and a readiness to study are the qualities intended to be established in the students. Initially, the student data are collected. Further, preprocessing has been achieved by using the normalization technique. Next, a convolutional neural network is proposed as a method for evaluating a student educational management system that takes into account dynamic student behavior during online learning. Moreover, statistical methods such as ANOVA and chi-square test are employed for further analysis. Finally, the performance of the system has been evaluated. Thus, the effectiveness of the student educational management mechanism is analyzed well and effectively.
An Adaptive Cuckoo Algorithm-Based Optimization Method for Tourist Traffic Routes
Authors: Hong Qian , Sun Yanbin
Published: June 2023

This paper presents in-depth research and analysis of the optimization method of tourist traffic routes using the adaptive cuckoo algorithm. The traditional cuckoo algorithm has the disadvantages of slow convergence speed and easy falling into local extremes. This paper proposes the iterative adaptive CHSACS algorithm based on iteration. Based on the original CS algorithm, a dynamic adaptive step control amount and a segmented weighted position update formula are introduced to give a class of improved CS algorithms to coordinate the problem of local search and global search of the CS algorithm and speed up the convergence speed at the later stage. To address the problem that the out-of-bounds nests interfere with the convergence of the algorithm, a memory strategy is introduced to relocate the out-of-bounds nests in the search space to improve the stability of the algorithm. Experiments are conducted on the iterative adaptive-based conductive CHSACS algorithm with test function sets. Compared with the original CS algorithm, and ACO algorithm, the CHSACS algorithm has faster convergence, higher search accuracy and a better ability to avoid local optima when dealing with continuous function optimization problems. For the dynamic travel path problem of travel time optimization, the road travel time and sightseeing time of different periods are predicted based on historical data, and the most traveled distance of travel time between two sights is dynamically searched by using the search mechanism based on time windows. The iterative adaptive CHSACS algorithm is used to continuously find the tourist traffic route with the shortest travel time travel path from all combinations of tour sequences. This paper combines the characteristics of bus vehicle scheduling itself, takes into account the interests of both bus companies and tourists, establishes a bus vehicle scheduling model with the departure interval as the independent variable, introduces this hybrid cuckoo algorithm into bus scheduling, verifies the scientific and feasibility of the algorithm through examples, and provides a new idea for solving bus scheduling optimization problems.
Enhancing Accessibility to Data in Data-Intensive Web Applications by Using Intelligent Web Prefetching Methodologies
Authors: Buyuktanir Tolga , Sigirci I. Onur , Aktas Mehmet S.
Published: June 2023

Data-intensive Web Applications built using client–server architectures usually provide prefetching mechanisms to enhance data accessibility. Prefetching is a strategy of retrieving data before it is requested so that it can be ready when the user requests it. Prefetching reduces the load on the web server by making data available before the user requests it. Prefetching can be used for static content, such as images and web pages, as well as dynamic content, such as search results. Prefetching can also be used to improve the performance of web applications, as the data is available quickly. There are several scheduling methods, such as time-based scheduling, event-based scheduling and priority-based scheduling, for prefetching to ensure that essential data is always ready when the user requests it. In this study, we focus on time-based scheduling for prefetching. We introduce time-based scheduling methodologies using sequential pattern mining techniques and long-term short memory-based deep learning strategies. To show the usefulness of these strategies, we develop a prototype application. We conduct an extensive experimental study to evaluate the performance of the proposed time-based scheduling methodologies using both performance and accuracy metrics. Based on the computed metrics, using proposed prefetching methods provided a promising cache hit rate when using the optimal cache size. The results show that the proposed prefetching methodologies are useful in data-intensive web applications for enhancing data accessibility. Work remains to investigate the use of attention-based sequence-to-sequence models in the web prefetching domain.
Optimal few-weight codes and their subfield codes
Authors: Wu Yansheng
Published: June 2023

Linear codes with a few weights are an important class of codes in coding theory and have attracted a lot of attention. Recently, Wu et al., constructed few-weight quaternary linear codes and their subfield codes by using simplicial complexes. In this paper, we will extend the results from binary case to arbitrarily odd prime number [Formula: see text]. More specifically, we have constructed [Formula: see text] classes of distance optimal linear codes, all of them meet the Griesmer bound.
Chloride-Less Approach Using Waste Linker Source in Zirconium-based Metal-Organic Framework (UiO-66)
Authors: Azmin Azieyanti Nurain , Misran Halina , Matsumoto Akihiko
Published: June 2023

UiO-66 was synthesized using a chloride-less approach with waste plastic bottles as a possible organic linker at room temperature. UiO-66 features an arrangement of structure from the coordination of zirconium-based metal clusters interconnected by benzene dicarboxylate (BDC) linkers. BDC can be extracted from waste plastic bottles by depolymerization. The structural comparison of UiO-66 using a pristine linker and PET-derived BDC linker was investigated with and without the presence of chloride ions. The (011), (111), (002), and (022) reflection planes from X-ray diffraction peaks for all samples show successful UiO-66 crystal formation. Thermal analysis on as-synthesized samples exhibited the decomposition in three stages of weight loss which are attributable to the solvent’s evaporation at ca. [Formula: see text]C, loss of water molecules physisorbed in the structure at ca. [Formula: see text]C, and mass reduction at ca. [Formula: see text]C due to decomposition of organic linkers, respectively. FT-IR spectra exhibited absorption peaks corresponding to the stretching vibration ([Formula: see text]-H) in asymmetric and symmetric C–H bonds in aromatic compounds originating from BDC. By using the Scherrer equation, the primary crystallite size was calculated at a range of ca. 15–32[Formula: see text]nm. The crystallite size calculated showed a similar value to the grain observed using a Williamson–Hall (WH) plot in the range of ca. 14–29[Formula: see text]nm. However, the WH plot for samples without chloride ions showed small crystallite sizes as well as low relative crystallinity suggesting loose agglomerations of the particles.
DeepRT: Predicting compounds presence in pathway modules and classifying into module classes using deep neural networks based on molecular properties
Authors: Shah Hayat Ali , Liu Juan , Yang Zhihui , Yang Feng , Zhang Qiang , Feng Jing
Published: June 2023

Metabolic pathways play a crucial role in understanding the biochemistry of organisms. In metabolic pathways, modules refer to clusters of interconnected reactions or sub-networks representing specific functional units or biological processes within the overall pathway. In pathway modules, compounds are major elements and refer to the various molecules that participate in the biochemical reactions within the pathway modules. These molecules can include substrates, intermediates and final products. Determining the presence relation of compounds and pathway modules is essential for synthesizing new molecules and predicting hidden reactions. To date, several computational methods have been proposed to address this problem. However, all methods only predict the metabolic pathways and their types, not the pathway modules. To address this issue, we proposed a novel deep learning model, DeepRT that integrates message passing neural networks (MPNNs) and transformer encoder. This combination allows DeepRT to effectively extract global and local structure information from the molecular graph. The model is designed to perform two tasks: first, determining the present relation of the compound with the pathway module, and second, predicting the relation of query compound and module classes. The proposed DeepRT model evaluated on a dataset comprising compounds and pathway modules, and it outperforms existing approaches.
Implications of Palatini gravity for inflation and beyond
Authors: Gialamas Ioannis D. , Karam Alexandros , Pappas Thomas D. , Tomberg Eemeli
Published: June 2023

In this paper, we present an introduction to cosmic inflation in the framework of Palatini gravity, which provides an intriguing alternative to the conventional metric formulation of gravity. In the latter, only the metric specifies the spacetime geometry, whereas in the former, the metric and the spacetime connection are independent variables—an option that can result in a gravity theory distinct from the metric one. In scenarios where the field(s) responsible for cosmic inflation are non-minimally coupled to gravity or the gravitational sector is extended, assumptions about the underlying gravitational degrees of freedom can have substantial implications for the observational effects of inflation. We examine this explicitly by discussing various compelling scenarios, such as Higgs inflation with a non-minimal coupling to gravity, Higgs inflation with a non-minimal derivative coupling, [Formula: see text] inflation, and beyond. We also comment on reheating in these models. Finally, as an application of the general results of Palatini [Formula: see text] inflation, we review a model of successful quintessential inflation, where a single scalar field acts initially as the inflaton and then becomes dynamical dark energy, in agreement will all experimental constraints.
On spectral radius and Zagreb Estrada index of graphs
Authors: Kosari Saeed
Published: June 2023

Let [Formula: see text] be a graph with [Formula: see text] vertices and let [Formula: see text] be the degree of its [Formula: see text]th vertex ([Formula: see text] is the degree of [Formula: see text]), then the Zagreb matrix of [Formula: see text] is the square matrix of order [Formula: see text] whose [Formula: see text]-entry is equal to [Formula: see text] if the [Formula: see text]th and [Formula: see text]th vertex of [Formula: see text] are adjacent, and zero otherwise. We give some bounds for the Zagreb spectral radius in terms of the maximum degree and minimum degree of [Formula: see text], the Randić index [Formula: see text], and the first Zagreb index [Formula: see text]. We also obtain some bounds for the Zagreb Estrada index.
THE EFFICIENCY OF THE NETWORK ORGANIZATIONAL STRUCTURE OF COOPERATIVE BANKS
Authors: VIOLA ANDREA
Published: June 2023

The paper proposes an empirical investigation of scale economies, scope economies, and market power of the network organizational structure of Italian cooperative banks. For 452 cooperative banks (and a control group of 223 commercial banks) over 2006–2018, empirical findings show that cooperative banks experienced cost economies of scale and scope, but they experienced scale diseconomies and constant scope economies on the revenue side. Unlike commercial banks, cooperative banks did not seem to benefit on the earnings side from increases in scale and diversification. Moreover, cooperative banks experience greater market power than commercial banks. Traditional advantages, in terms of network economies and relationship lending, are proven empirically to persist for the network organizational structure.
4D printing of PLA/PCL composites with tunable shape memory properties via printing and programming parameters
Authors: Liu Zhenning , Gao Peng , Wu Qian , Wang Zhenguo , Li Jianyang , Wang Kunyang , Li Guiwei , Zhou Xueli , Song Zhengyi , Li Bingqian , Liu Qingping
Published: June 2023

4D printing of biocompatible shape memory polymer materials is of great significance in the biomedical field. The addition of PCL material into PLA matrix is capable of modulating the elastic modulus of the material while remaining a reduced degradation rate. However, the influence of 4D printing parameters and shape programming parameters on their shape memory properties had not been systematically investigated. Here, we examine the effects of 4D printing process parameters and shape programming parameters on the shape memory properties of PLA/PCL composites. We first explore the effects of key printing parameters on the print quality and shape memory properties of pure PLA materials, and select composites with a PCL mass fraction of 15% to fully characterize their thermodynamic properties. The effects of programming stress and programming temperature on the shape memory properties of the PCL15 composites are analyzed. Finally, the artificial neural network algorithm is employed to optimize its programming parameters, and brings 5.76% enhancement of shape recovery ratio compared with that before optimization. This work provides a systematic study of the shape memory properties of 4D printed PLA/PCL composites, paving the way for promoting their application in the biomedical industry.
Cross-basin Mo and U analysis of the Upper Mississippian Bowland Shale, UK
Authors: Walker Jack , Emmings Joseph F. , Acikalin Sanem , Flynn Shannon , van der Land Cees , Jones Martin , Vane Christopher H. , Hennissen Jan A. I. , Hough Ed , Wagner Thomas , Craddock Lucy
Published: June 2023

The Bowland sub-basin is a target for hydrocarbon exploration, but to a large extent it remains unexplored. To determine the economic potential of the Bowland sub-basin, it is important to identify the oceanographic processes involved in the deposition of the Bowland Shale Formation in the Late Mississippian (
c.
330 Ma). Palaeoceanographic processes are known to be a major control on the development of hydrocarbon source rocks. This study investigates core (Preese Hall-1 and Becconsall-1Z) materials from the Upper Bowland Shale, and makes a comparison with previously published data (outcrop Hind Clough), all from the Bowland sub-basin, Lancashire, UK. The sedimentology and geochemistry of this formation were determined via a multi-technique approach including X-ray fluorescence, sedimentology, gamma-ray spectra, X-ray diffraction and Rock-Eval pyrolysis. Key trace metal abundances and enrichment factors were used to assess sediment provenance and to determine the bottom-water redox conditions during the deposition of the Upper Bowland Shale. Our results support interpretations of contemporaneous anoxia developing in bottom waters in at least three sites in the Bowland sub-basin. In a comparison with the Fort Worth Basin (Barnett Shale, USA), the Bowland sub-basin was apparently less restricted and deposited under a much higher mean sediment accumulation rate. Knowledge from this study will improve future resource estimates of the Bowland Shale Formation, and challenge the early assumptions that the Barnett Shale is an analogue of the Bowland Shale.
Structural inheritance in Carolinia, external to the excised Rheic Suture: Savannah River Site, South Carolina, USA.
Authors: Dennis A. J. , Shervais J. W. , Maher H. D.
Published: June 2023

Phanerozoic reactivations of basement fault zones are documented in 5000 m of basement core recovered from beneath the updip Atlantic Coastal Plain underlying the US Department of Energy Savannah River Site (SRS) in South Carolina. These basement fault zones are adjacent to the excised Rheic Ocean suture. Meta-intrusive rocks from
c.
620 and 625 Ma contain a mylonitic fabric and intrude foliated mafic metavolcanic rocks. At
c.
305 Ma, granulite facies orthogneisses were thrust over amphibolite facies meta-igneous rocks in the transpressive Tinker Creek Nappe. The overturned limb of the nappe localizes the Triassic Dunbarton Basin Border Fault. The border fault acted as a conduit for fluids in the Mesozoic and Cenozoic. At
c.
220 ± 5 Ma, a potassium and silica metasomatic event affected the SRS basement. A propylitic event flushed reducing fluids through rocks as young as the Santonian. The remains of a Triassic sub-basin were identified in the northwesten part of the site. A Cretaceous and younger vein paragenesis overprints the previous events. More than 30 pseudotachylytes are found in the SRS basement and are preferentially localized on metasomatized Alleghanian chloritic fractures. Pseudotachylyte post-dates mineralized fractures. The Pen Branch Fault offsets the basement–Cretaceous unconformity and is present in
c.
242 m of core between PBF-7-419 m and PBF-7-660.8 m. The Pen Branch Fault cross-cuts mineralized fractures and must post-date strike-normal zeolites.
SLA Management in Intent-Driven Service Management Systems: A Taxonomy and Future Directions
Authors: Sharma Yogesh , Bhamare Deval , Sastry Nishanth , Javadi Bahman , Buyya Rajkumar
Published: June 2023

Traditional, slow and error-prone human-driven methods to configure and manage Internet service requests are proving unsatisfactory. This is due to an increase in Internet applications with stringent quality of service (QoS) requirements. Which demands faster and fault-free service deployment with minimal or without human intervention. With this aim, intent-driven service management (IDSM) has emerged, where users express their service level agreement (SLA) requirements in a declarative manner as
intents
. With the help of closed control-loop operations, IDSM performs service configurations and deployments, autonomously to fulfill the intents. This results in a faster deployment of services and reduction in configuration errors caused by manual operations, which in turn reduces the SLA violations. This article is an attempt to provide a systematic review of How the IDSM systems manage and fulfill the SLA requirements specified as intents. As an outcome, the review identifies four intent management activities, which are performed in a closed-loop manner. For each activity, a taxonomy is proposed and used to compare the existing techniques for SLA management in IDSM systems. A critical analysis of all the considered research articles in the review and future research directions are presented in the conclusion.
RSS: Effective and Efficient Training for Sequential Recommendation Using Recency Sampling
Authors: Petrov Aleksandr , Macdonald Craig
Published: June 2023

Many modern sequential recommender systems use deep neural networks, which can effectively estimate the relevance of items but require a lot of time to train. Slow training increases the costs of training, hinders product development timescales, and prevents the model from being regularly updated to adapt to changing user preferences. The training of such sequential models involves appropriately sampling past user interactions to create a realistic training objective. The existing training objectives have limitations. For instance, next item prediction never uses the beginning of the sequence as a learning target, thereby potentially discarding valuable data. However, the item masking used by the state-of-the-art BERT4Rec recommender model is only weakly related to the goal of the sequential recommendation; therefore, it requires much more time to obtain an effective model. Hence, we propose a novel Recency-based Sampling of Sequences (RSS) training objective (which is parameterized by a choice of recency importance function) that addresses both limitations. We apply our method to various recent and state-of-the-art model architectures—such as GRU4Rec, Caser, and SASRec. We show that the models enhanced with our method can achieve performances exceeding or very close to the effective BERT4Rec, but with much less training time. For example, on the MovieLens-20M dataset, RSS applied to the SASRec model can result in a 60% improvement in NDCG over a vanilla SASRec, and a 16% improvement over a fully trained BERT4Rec model, despite taking 93% less training time than BERT4Rec. We also experiment with two families of recency importance functions and show that they perform similarly. We further empirically demonstrate that RSS-enhanced SASRec successfully learns to distinguish differences between recent and older interactions—a property that the original SASRec model does not exhibit. Overall, we show that RSS is a viable (and frequently better) alternative to the existing training objectives, which is both effective and efficient for training sequential recommender model when the computational resources for training are limited.
Modeling and Performance Analysis of a Grid-Connected Photovoltaic System with Advanced Controller considering Varying Environmental Conditions
Authors: Babu P. Chandra , Kumar Devineni Gireesh , Sireesha Nagineni Venkata , Pushkarna Mukesh , Prashanth B. Venkata , DSNMRAO  , Kotb Hossam , AboRas Kareem M. , Bajaj Mohit , Alphonse Sadam
Published: June 2023

This paper presents a mathematical model of 255 kW grid-connected solar photovoltaic (SPV) system. To study the performance characteristics of the grid-connected SPV system, a new hybrid adaptive grasshopper optimization algorithm with the recurrent neural network (AGO-RNN) control technique was implemented. Furthermore, the power quality at the point of common coupling (PCC) has been studied using the conventional (PSO) and proposed AGO-RNN controllers. The characteristics of the PV system were analyzed under varying environmental (variable irradiance and temperature) conditions considering 3 different cases such as (i) standard test conditions (STC), (ii) variable radiation with constant temperature, and (iii) variable radiation with variable temperature. For each case, the total harmonic distortion (THD) has been calculated using the proposed AGO-RNN control technique, and the results were compared with particle swarm optimization (PSO) technique. The 255 kW PV model is initially developed and connected to a three-level NPC inverter, an MPPT-based perturbation and observation algorithm. Later, the PV model is controlled by an AGO-RNN pulse width modulation (PWM) controller and is then integrated to the main grid at PCC. The main advantage of this technique is exploiting the separate DC-DC converter between the SPV module and the inverter. Finally, the proposed grid-connected SPV system was simulated on MATLAB for analyzing the performance of the system based on its I-V and P-V characteristics, inverter voltage, grid power, gird voltage, grid current, power factor, and THD under different environmental conditions. The simulation results demonstrate that the current magnitude and THD of the SPVGC system are improved with the cutting-edge AGO-RNN controller compared to PSO in all three different scenarios, and this value is less than 1.6%, which is within the permitted limits of IEC 61727 standards.
Nanoscale Zero-Valent Iron Dispersed by Sodium Alginate Enables Highly Efficient Removal of Lead (Pb) from Aqueous Solution
Authors: Zheng Chunli , Ren Jieling , He Fei , Yong Yingying , Tu Yanhong , Wang Zhenxing
Published: June 2023

Nanozero-valent iron (NZVI) shows great potential in the remediation of water pollution, but its application is limited by its instability and tendency to aggregate. To enhance the dispersibility and antioxidant properties of NZVI, we prepared composites (SN) by wrapping NZVI with sodium alginate (SA) for the removal of Pb(II) from water. Various characterization methods such as SEM-EDS, BET, XPS, and FT-IR were used to study the structure of the materials, and the adsorption properties of Pb(II) in the materials were analyzed using adsorption kinetics and adsorption isotherm experiments. The results showed that SN had a specific surface area of 47.05 m2/g, which was significantly higher than the 7.56 m2/g of NZVI, and the surface passivation was reduced. The maximum adsorption amount of SN on Pb(II) was obtained by fitting the adsorption isotherm model at 70.92 mg/g. After five cycles of adsorption, SN exhibited a removal rate of 95.11% for Pb(II). The mechanism of Pb(II) removal by SN involved the synergistic effect of electrostatic adsorption, redox reaction, ion exchange, and coprecipitation. Notably, even after 90 days of aging, the removal rate of Pb(II) by SN remained high at 95.39%, demonstrating good reactivity. These results indicated that SN is an effective adsorbent to remove Pb(II) contamination.
Modified Particle Swarm Optimization Based on Aging Leaders and Challengers Model for Task Scheduling in Cloud Computing
Authors: Chaudhary Shikha , Sharma Vijay Kumar , Thakur R. N. , Rathi Amit , Kumar Pramendra , Sharma Sachin
Published: June 2023

In cloud computing, a shared, configurable pool of computing resources is made accessible online and allocated to users according to their needs. It is essential for a cloud provider to schedule jobs in the cloud to keep up service quality and boost system efficiency. In this paper, we present a scheduling technique based on modified particle swarm optimization to combat the issues of excessively long scheduling time and high computation costs associated with scheduling jobs in a cloud environment. The modified PSO is used to allocate the jobs to virtual machines in order to minimize the objective function consisting of cost and makespan. The algorithm relies on biological changes that occur in organisms to regulate premature convergence and improve local search capability. The technique is analyzed and simulated using CloudSim, and the simulation results demonstrate that the proposed approach decreases makespan and cost effectively as compared to standard PSO.
A Heart Gone Bananas: Allergy-Induced Coronary Vasospasm due to Banana (Kounis Syndrome)
Authors: Reinhold Lauren , Lynch Stephen , Lauter Carl B. , Dixon Simon R. , Aneese Andrew
Published: June 2023

Kounis syndrome encompasses a variety of cardiovascular signs and symptoms associated with mast cell activation in the setting of allergic or hypersensitivity and anaphylactic or anaphylactoid insults. It can manifest as coronary vasospasm, coronary, or in-stent thrombosis, and acute myocardial infarction with plaque rupture. Various medications as well as foods including fish, shellfish, mushroom, kiwi, and rice pudding have been implicated as causal agents. We present what we believe to be the first documented case of Kounis syndrome manifesting as coronary vasospasm as the result of an allergy to banana. This case highlights the importance of considering allergic causes of angina and allergy referral in a patient with known atopy and an otherwise negative cardiovascular workup. It also emphasizes to consider food allergy, especially banana, as a cause of Kounis syndrome.
Application of FAHP Methodology to Rank Productivity-Affecting Factors in Blanket Factory: A Case Study
Authors: Ebeyedengel Seife
Published: June 2023

Blanket factory as a textile industry is one of the manufacturing sectors in Ethiopia; however, the sector productivity is the main issue of the business owners. For the reason of improving the productivity of the sector, factors affecting productivity should be identified and prioritized since improvement is capital intensive measurement. In this research, a FAHP methodology has been developed to prioritize the identified productivity-affecting factors of the blanket factory. Productivity problem is sourced from different factors. However, the concept of productivity-affecting factors has been considered in previous literature, its integration with productivity of the blanket factory and the FAHP methodology has not been studied. For the sake of filling this gap, this research has been conducted using the following main steps: at the beginning, productivity-affecting factors have been identified from previous literature. Then, as there are many productivity-affecting factors in different manufacturing sectors, the list of potential productivity-affecting factors has been investigated to check which factors are most common in the blanket factory. Finally, a FAHP model has been applied to prioritize productivity-affecting factors. According to this model, the result showed that skilled employee and on and off job training, production process line balancing, and better technology and manufacturing system are the most important factors of productivity problem in the blanket factory. Based on the normalized weight, these factors scored 35.92%, 22.94%, and 17.06%, respectively. As the main implications, the research procedure and obtained results using the developed methodology can help industry managers, operation managers and practitioners, business owners, academicians, and researchers to determine productivity-affecting factors so that they can provide possible solutions to the blanket factory.
Tilapia Skin Peptides Inhibit Apoptosis, Inflammation, and Oxidative Stress to Improve Dry Eye Disease In Vitro and In Vivo
Authors: Zeng Jian , Hu Chuanyin , Lin Cuixian , Zhang Shilin , Deng Kaishu , Du Jianyang , Yang Zhiyou , Liu Shucheng , Wu Wenjin , Zhao Yun-Tao
Published: June 2023

Dry eye disease (DED) is a common chronic ophthalmic disorder, and there is no effective treatment to cure it. It is urgent to find new antidry eye compounds. Here, the effects and underlying mechanisms of tilapia skin peptides (TSP) on DED were investigated. In vitro, human corneal epithelial cells (HCECs) were cultured in a hypertonic medium containing TSP for 12 h. The MTT assay, calcein-AM/PI staining, reactive oxygen (ROS) analysis, and western blot were performed at the end of the experiments. In the in vivo model of DED, mice eyes were dropped with 0.3% benzalkonium chloride (BAC) and 0.1% TSP for 14 days. Mice were treated with BAC and TSP twice daily with a 10-hour time interval between treatments. After treatment, phenolic red cotton experiment, tear ferning test, and histology assay were carried out. In vitro, TSP significantly restored the cell viability of HCECs challenged by NaCl. In vivo, tear secretion function and tear fern-like crystal levels were considerably improved in the DED group after treatment with TSP. Mechanically, TSP impend the DED development by regulating Bax/Bcl-2 signal pathway, inhibiting iNOS and COX-2 protein expression, moderating ROS/Nrf2/HO-1 axis, inhibiting cell apoptosis in the corneal regions, increasing the number of conjunctival goblet cells, and arresting corneal epithelial thinning. In conclusion, TSP ameliorated DED-like disorder in BAC-induced DED mice and cell damage in NaCl-induced HCECs. TSP improved DED by suppressing apoptosis, inflammation, and oxidative stress. Consequently, this study reveals the beneficial activity of TSP in DED.
Supplementary Fig. 6 from Antitumor Efficacy of the Novel KIT Inhibitor IDRX-42 (Formerly M4205) in Patient- and Cell Line–Derived Xenograft Models of Gastrointestinal Stromal Tumor (GIST)
Authors: De Sutter Luna , Wozniak Agnieszka , Verreet Jasper , Vanleeuw Ulla , De Cock Lore , Linde Nina , Drechsler Christine , Esdar Christina , Sciot Raf , Schöffski Patrick
Published: June 2023

Supplementary Fig. 6. One histologically representative picture of cPARP staining in control group versus IDRX-42_25 treatment group in the experiment with UZLX-GIST9KIT11+17.
Supplementary Fig. 5 from Antitumor Efficacy of the Novel KIT Inhibitor IDRX-42 (Formerly M4205) in Patient- and Cell Line–Derived Xenograft Models of Gastrointestinal Stromal Tumor (GIST)
Authors: De Sutter Luna , Wozniak Agnieszka , Verreet Jasper , Vanleeuw Ulla , De Cock Lore , Linde Nina , Drechsler Christine , Esdar Christina , Sciot Raf , Schöffski Patrick
Published: June 2023

Supplementary Fig. 5. Average number of apoptotic cells per treatment group in 10 high power fields assessed on (A) hematoxylin and eosin (H&E) staining and on (B) cleaved poly-ADP-ribose-polymerase (cPARP) staining.
Supplementary Fig. 2 from Antitumor Efficacy of the Novel KIT Inhibitor IDRX-42 (Formerly M4205) in Patient- and Cell Line–Derived Xenograft Models of Gastrointestinal Stromal Tumor (GIST)
Authors: De Sutter Luna , Wozniak Agnieszka , Verreet Jasper , Vanleeuw Ulla , De Cock Lore , Linde Nina , Drechsler Christine , Esdar Christina , Sciot Raf , Schöffski Patrick
Published: June 2023

Supplementary Fig. 2. Individual absolute tumor volumes per experiment and per treatment group on the first and last day of experiment.
Supplementary Fig. 1 from Antitumor Efficacy of the Novel KIT Inhibitor IDRX-42 (Formerly M4205) in Patient- and Cell Line–Derived Xenograft Models of Gastrointestinal Stromal Tumor (GIST)
Authors: De Sutter Luna , Wozniak Agnieszka , Verreet Jasper , Vanleeuw Ulla , De Cock Lore , Linde Nina , Drechsler Christine , Esdar Christina , Sciot Raf , Schöffski Patrick
Published: June 2023

Supplementary Fig. 1. Histopathological characteristics.
Figure S4 from Immunogenomic Landscape of Neuroendocrine Prostate Cancer
Authors: Bhinder Bhavneet , Ferguson Alison , Sigouros Michael , Uppal Manik , Elsaeed Ahmed G. , Bareja Rohan , Alnajar Hussein , Eng Kenneth Wha , Conteduca Vincenza , Sboner Andrea , Mosquera Juan Miguel , Elemento Olivier , Beltran Himisha
Published: June 2023

Suppl Figure 4. TME profile of distinct prostate cancer types in the cohort.
Figure S3 from Immunogenomic Landscape of Neuroendocrine Prostate Cancer
Authors: Bhinder Bhavneet , Ferguson Alison , Sigouros Michael , Uppal Manik , Elsaeed Ahmed G. , Bareja Rohan , Alnajar Hussein , Eng Kenneth Wha , Conteduca Vincenza , Sboner Andrea , Mosquera Juan Miguel , Elemento Olivier , Beltran Himisha
Published: June 2023

Suppl Figure 3. Identification of gene modules associated with NEPC T-cell immune classes.
Supplementary Table S2 from Targeting BET Proteins Downregulates miR-33a To Promote Synergy with PIM Inhibitors in CMML
Authors: Letson Christopher T. , Balasis Maria E. , Newman Hannah , Binder Moritz , Vedder Alexis , Kinose Fumi , Ball Markus , Kruer Traci , Quintana Ariel , Lasho Terra L. , Finke Christy M. , Almada Luciana L. , Grants Jennifer M. , Zhang Guolin , Fernandez-Zapico Martin E. , Gaspar-Maia Alexandre , Lancet Jeffrey , Komrokji Rami , Haura Eric , Sallman David A. , Reuther Gary W. , Karsan Aly , Rix Uwe , Patnaik Mrinal M. , Padron Eric
Published: June 2023

References used for filtering hits from drug screen
Supplementary Table S1 from Targeting BET Proteins Downregulates miR-33a To Promote Synergy with PIM Inhibitors in CMML
Authors: Letson Christopher T. , Balasis Maria E. , Newman Hannah , Binder Moritz , Vedder Alexis , Kinose Fumi , Ball Markus , Kruer Traci , Quintana Ariel , Lasho Terra L. , Finke Christy M. , Almada Luciana L. , Grants Jennifer M. , Zhang Guolin , Fernandez-Zapico Martin E. , Gaspar-Maia Alexandre , Lancet Jeffrey , Komrokji Rami , Haura Eric , Sallman David A. , Reuther Gary W. , Karsan Aly , Rix Uwe , Patnaik Mrinal M. , Padron Eric
Published: June 2023

Raw data associated with drug screen performed in Figure 1A.
Supplementary Table S3 from Autocrine 17-β-Estradiol/Estrogen Receptor-α Loop Determines the Response to Immune Checkpoint Inhibitors in Non–Small Cell Lung Cancer
Authors: Anobile Dario P. , Salaroglio Iris C. , Tabbò Fabrizio , La Vecchia Sofia , Akman Muhlis , Napoli Francesca , Bungaro Maristella , Benso Federica , Aldieri Elisabetta , Bironzo Paolo , Kopecka Joanna , Passiglia Francesco , Righi Luisella , Novello Silvia , Scagliotti Giorgio V. , Riganti Chiara
Published: June 2023

Cell lines used
Supplementary Table S2 from Autocrine 17-β-Estradiol/Estrogen Receptor-α Loop Determines the Response to Immune Checkpoint Inhibitors in Non–Small Cell Lung Cancer
Authors: Anobile Dario P. , Salaroglio Iris C. , Tabbò Fabrizio , La Vecchia Sofia , Akman Muhlis , Napoli Francesca , Bungaro Maristella , Benso Federica , Aldieri Elisabetta , Bironzo Paolo , Kopecka Joanna , Passiglia Francesco , Righi Luisella , Novello Silvia , Scagliotti Giorgio V. , Riganti Chiara
Published: June 2023

Patient features
Supplementary Figure S5 from Targeting BET Proteins Downregulates miR-33a To Promote Synergy with PIM Inhibitors in CMML
Authors: Letson Christopher T. , Balasis Maria E. , Newman Hannah , Binder Moritz , Vedder Alexis , Kinose Fumi , Ball Markus , Kruer Traci , Quintana Ariel , Lasho Terra L. , Finke Christy M. , Almada Luciana L. , Grants Jennifer M. , Zhang Guolin , Fernandez-Zapico Martin E. , Gaspar-Maia Alexandre , Lancet Jeffrey , Komrokji Rami , Haura Eric , Sallman David A. , Reuther Gary W. , Karsan Aly , Rix Uwe , Patnaik Mrinal M. , Padron Eric
Published: June 2023

Supplemental Figure 5 contains ChIP-seq tracks of all individual samples corresponding to Figure 5D.
Supplementary Figure S4 from Targeting BET Proteins Downregulates miR-33a To Promote Synergy with PIM Inhibitors in CMML
Authors: Letson Christopher T. , Balasis Maria E. , Newman Hannah , Binder Moritz , Vedder Alexis , Kinose Fumi , Ball Markus , Kruer Traci , Quintana Ariel , Lasho Terra L. , Finke Christy M. , Almada Luciana L. , Grants Jennifer M. , Zhang Guolin , Fernandez-Zapico Martin E. , Gaspar-Maia Alexandre , Lancet Jeffrey , Komrokji Rami , Haura Eric , Sallman David A. , Reuther Gary W. , Karsan Aly , Rix Uwe , Patnaik Mrinal M. , Padron Eric
Published: June 2023

Supplemental Figure 4 contains data related to miR-33a regulation in BETi treated cells.
Supplementary Figure S3 from Targeting BET Proteins Downregulates miR-33a To Promote Synergy with PIM Inhibitors in CMML
Authors: Letson Christopher T. , Balasis Maria E. , Newman Hannah , Binder Moritz , Vedder Alexis , Kinose Fumi , Ball Markus , Kruer Traci , Quintana Ariel , Lasho Terra L. , Finke Christy M. , Almada Luciana L. , Grants Jennifer M. , Zhang Guolin , Fernandez-Zapico Martin E. , Gaspar-Maia Alexandre , Lancet Jeffrey , Komrokji Rami , Haura Eric , Sallman David A. , Reuther Gary W. , Karsan Aly , Rix Uwe , Patnaik Mrinal M. , Padron Eric
Published: June 2023

Supplemental Figure 3 shows endogenous PIM1 levels in SKM1 WT and overexpressing cells and BETi/PIMi sensitivity correlation in PIM1 overexpressing cells.
Supplementary Figure S8 from Autocrine 17-β-Estradiol/Estrogen Receptor-α Loop Determines the Response to Immune Checkpoint Inhibitors in Non–Small Cell Lung Cancer
Authors: Anobile Dario P. , Salaroglio Iris C. , Tabbò Fabrizio , La Vecchia Sofia , Akman Muhlis , Napoli Francesca , Bungaro Maristella , Benso Federica , Aldieri Elisabetta , Bironzo Paolo , Kopecka Joanna , Passiglia Francesco , Righi Luisella , Novello Silvia , Scagliotti Giorgio V. , Riganti Chiara
Published: June 2023

Levels of progesterone, testosterone and respective receptors in non-small cell lung cancer cells
a-b. Levels of progesterone (panel a) and testosterone (panel b), measured by ELISA (technical triplicates), in female (F)-derived NCI-H1385 and NCI-H1975 cells, and in male (M)-derived A549 and NCI-H1650 cells. Data are means+SD (n=3, biological replicates). °p<0.05: M-derived cells versus mean of F-derived cells (ANOVA). c-d. Progesterone receptor (PR; panel c) and androgen receptor (AR; panel d) mRNA, measured by RT-PCR (technical triplicates). The relative expression of each gene in NCI-H1385 cells was considered 1. Data are means + SD (n=3, biological replicates). ***p<0.001: NCI-H1975 cells versus NCI-H1385; °°p<0.01: M-derived cells versus mean of F-derived cells (ANOVA). e. Immunoblot of the indicated proteins in nuclear extracts. TBP is included as control of equal protein loading. The image is representative of one of three experiments.
Supplementary Figure S7 from Autocrine 17-β-Estradiol/Estrogen Receptor-α Loop Determines the Response to Immune Checkpoint Inhibitors in Non–Small Cell Lung Cancer
Authors: Anobile Dario P. , Salaroglio Iris C. , Tabbò Fabrizio , La Vecchia Sofia , Akman Muhlis , Napoli Francesca , Bungaro Maristella , Benso Federica , Aldieri Elisabetta , Bironzo Paolo , Kopecka Joanna , Passiglia Francesco , Righi Luisella , Novello Silvia , Scagliotti Giorgio V. , Riganti Chiara
Published: June 2023

Levels of FSHR and LHR in non-small cell lung cancer cells
FSHR (panel a) and LHR (panel b) mRNA, measured by RT-PCR (technical triplicates), in female (F)-derived NCI-H1385 and NCI-H1975 cells, and in male (M)-derived A549 and NCI-H1650 cells. The relative expression of each gene in NCI-H1385 cells was considered 1. Data are means+SD (n=3, biological replicates).
Supplementary Figure S6 from Autocrine 17-β-Estradiol/Estrogen Receptor-α Loop Determines the Response to Immune Checkpoint Inhibitors in Non–Small Cell Lung Cancer
Authors: Anobile Dario P. , Salaroglio Iris C. , Tabbò Fabrizio , La Vecchia Sofia , Akman Muhlis , Napoli Francesca , Bungaro Maristella , Benso Federica , Aldieri Elisabetta , Bironzo Paolo , Kopecka Joanna , Passiglia Francesco , Righi Luisella , Novello Silvia , Scagliotti Giorgio V. , Riganti Chiara
Published: June 2023

Levels of ERβ and ERα target genes in non-small cell lung cancer cells
a. ERβ mRNA, measured by RT-PCR (technical triplicates), in female (F)-derived NCI-H1385 and NCI-H1975 cells, and in male (M)-derived A549 and NCI-H1650 cells. The relative expression of ERβ in NCI-H1385 cells was considered 1. Data are means+SD (n=3). ***p<0.001: NCI-H1975 cells versus NCI-H1385; °°p<0.01: M-derived cells versus mean of F-derived cells (ANOVA). b. Expression of ERβ mRNA, measured by RT-PCR (technical triplicates), plotted versus expression of surface PD-L1, measured by flow cytometry (technical triplicates), in 29 human NSCLC cell lines derived from F or M patients. c. Expression of ERα-target genes CXCL12, IGFBP4 and ABCA3, measured by RT-PCR (technical triplicates). The relative expression of each gene in NCI-H1385 cells was considered 1. Data are means+SD (n=3). *p<0.05, ***p<0.001: NCI-H1975 cells versus NCI-H1385; °p<0.05, °°p<0.01, °°°p<0.001: M-derived cells versus mean of F-derived cells (ANOVA).
Supplementary Figure S5 from Autocrine 17-β-Estradiol/Estrogen Receptor-α Loop Determines the Response to Immune Checkpoint Inhibitors in Non–Small Cell Lung Cancer
Authors: Anobile Dario P. , Salaroglio Iris C. , Tabbò Fabrizio , La Vecchia Sofia , Akman Muhlis , Napoli Francesca , Bungaro Maristella , Benso Federica , Aldieri Elisabetta , Bironzo Paolo , Kopecka Joanna , Passiglia Francesco , Righi Luisella , Novello Silvia , Scagliotti Giorgio V. , Riganti Chiara
Published: June 2023

Disaggregated data of ERα, 17-β-estradiol and PD-L1 levels in non-small cell lung cancer cells.
a-c. Expression of ERα mRNA, measured by RT-PCR (technical triplicates) (panel a), levels of 17-β-estradiol, measured by ELISA (technical triplicates) (panel b), expression of surface PD-L1 (panel c), measured by flow cytometry (technical triplicates) in 29 human NSCLC cell lines, divided in female (F)- or male (M)-derived cell lines, primary tumor (P) or metastatic (MTS) localization-derived cell lines, non-smoker (NSm) or smoker (Sm) patients. *p<0.05, **p<0.01: F versus M, P versus MTS, NSm versus Sm (ANOVA).
Supplementary Figure S3 from Autocrine 17-β-Estradiol/Estrogen Receptor-α Loop Determines the Response to Immune Checkpoint Inhibitors in Non–Small Cell Lung Cancer
Authors: Anobile Dario P. , Salaroglio Iris C. , Tabbò Fabrizio , La Vecchia Sofia , Akman Muhlis , Napoli Francesca , Bungaro Maristella , Benso Federica , Aldieri Elisabetta , Bironzo Paolo , Kopecka Joanna , Passiglia Francesco , Righi Luisella , Novello Silvia , Scagliotti Giorgio V. , Riganti Chiara
Published: June 2023

Outcome of non-small cell lung cancer patients in LUAD TCGA cohort.
a. OS of patients of lung adenocarcinoma (LUAD) dataset of The Cancer Genome Atlas (TCGA), stratified according to the gender. F: females; M: males. b-c. OS of LUAD TCGA female and male patients, stratified according to the median expression value of CD274/PD-L1 mRNA. d-e. OS of LUAD TCGA female and male patients, stratified according to the median expression value of ESR1/ERα mRNA. f-g. OS of LUAD TCGA female and male patients, stratified according to the co-expression phenotypes: CD274high/ESR1high, CD274high/ESR1low, CD274low/ESR1high, CD274low/ESR1low. P:0.005 for CD274high/ESR1high versus CD274low/ESR1low group. h. Expression of ERα mRNA, plotted versus PD-L1 mRNA, both measured by RT-PCR (technical triplicates) in the tumor samples from F and M patients.