bluuebunny/crossref_metadata_2025 huggingface dataset:
Does an early, balanced resuscitation strategy reduce the incidence of hypofibrinogenemia in hemorrhagic shock?
Authors: Lubkin David T , Mueck Krislynn M , Hatton Gabrielle E , Brill Jason B , Sandoval Mariela , Cardenas Jessica C , Wade Charles E , Cotton Bryan A
Published: April 2024

Objectives

Some centers have recommended including concentrated fibrinogen replacement in massive transfusion protocols (MTPs). Given our center’s policy of aggressive early balanced resuscitation (1:1:1), beginning prehospital, we hypothesized that our rates of hypofibrinogenemia may be lower than those previously reported.

Methods

In this retrospective cohort study, patients presenting to our trauma center November 2017 to April 2021 were reviewed. Patients were defined as hypofibrinogenemic (HYPOFIB) if admission fibrinogen <150 or rapid thrombelastography angle <60. Univariate and multivariable analyses assessed risk factors for HYPOFIB. Inverse probability of treatment weighting analyses assessed the relationship between cryoprecipitate administration and outcomes.

Results

Of 29 782 patients, 6618 level 1 activations, and 1948 patients receiving emergency release blood, <1%, 2%, and 7% were HYPOFIB. HYPOFIB patients were younger, had higher head Abbreviated Injury Scale value, and had worse coagulopathy and shock. HYPOFIB had lower survival (48% vs 82%, p<0.001), shorter time to death (median 28 (7, 50) vs 36 (14, 140) hours, p=0.012), and were more likely to die from head injury (72% vs 51%, p<0.001). Risk factors for HYPOFIB included increased age (OR (95% CI) 0.98 (0.96 to 0.99), p=0.03), head injury severity (OR 1.24 (1.06 to 1.46), p=0.009), lower arrival pH (OR 0.01 (0.001 to 0.20), p=0.002), and elevated prehospital red blood cell to platelet ratio (OR 1.20 (1.02 to 1.41), p=0.03). Among HYPOFIB patients, there was no difference in survival for those that received early cryoprecipitate (within 2 hours; 40 vs 47%; p=0.630). On inverse probability of treatment weighted analysis, early cryoprecipitate did not benefit the full cohort (OR 0.52 (0.43 to 0.65), p<0.001), nor the HYPOFIB subgroup (0.28 (0.20 to 0.39), p<0.001).

Conclusions

Low rates of hypofibrinogenemia were found in our center which treats hemorrhage with early, balanced resuscitation. Previously reported higher rates may be partially due to unbalanced resuscitation and/or delay in resuscitation initiation. Routine empiric inclusion of concentrated fibrinogen replacement in MTPs is not supported by the currently available data.

Level of evidence

Level III.
A continuous beam monochromator for matter waves
Authors: Fiedler Johannes , Holst Bodil
Published: April 2024

Atom and, of late, molecule interferometers find application in both the crucible of fundamental research and industrial pursuits. A prevalent methodology in the construction of atom interferometers involves the utilisation of gratings fashioned from laser beams. While this approach imparts commendable precision, it is hampered by its incapacity to attain exceedingly short wavelengths and its dependence on intricate laser systems for operational efficacy. All applications require the control of matter waves, particularly the particle’s velocity. In this manuscript, we propose a continuous beam monochromator scheme reaching enormously high velocity purification with speed ratios in the order of $$10^3$$

10
3

based on atom-surface diffraction. Beyond these high purifications, the proposed scheme simplifies the application by reducing the degree of freedom to a single angle, selecting the wanted particle’s velocity.

Graphic abstract
STRAIN TRANSFER ANALYSIS OF A FOUR-LAYER EMBEDDED FIBER OPTIC SENSING MODEL IN AN ELASTIC STATE
Authors: ZHANG XUEBING , ZHENG ZHIZHOU , WANG HUAPING , XIANG PING
Published: April 2024

Optical fiber grating strain sensors are currently utilized in a variety of structural health monitoring applications. The encapsulated fiber optic sensor is unable to completely detect the strain of the structure, so the strain transfer theory should be established to maximize the strain sensing of fiber. It is required to explore the embedded four-layer fiber optic sensing model to create a more plausible strain transfer error hypothesis. Based on the three-layer fiber optic sensing model, the Goodman assumption and Fourier series approach were presented to study the strain transfer efficiency of the four-layer model in the elastic state. First, the physical quantity to be analyzed is determined, and finally the radius, interlayer bonding coefficient and elastic modulus are selected as the parameters affecting the strain transfer efficiency. The length range of efficiency evaluation is 0–2.5[Formula: see text]m, and the transfer efficiency under different radii is above 0.90 when the length [Formula: see text][Formula: see text]m. The interlayer bonding coefficient [Formula: see text] between [Formula: see text][Formula: see text]N/m3 and [Formula: see text][Formula: see text]N/m3 has little impact on the transfer efficiency, and the same is true for [Formula: see text], so it cannot be considered in practice. When [Formula: see text] is between [Formula: see text][Formula: see text]N/m3 and [Formula: see text][Formula: see text]N/m3 and the length [Formula: see text][Formula: see text]m, the strain transfer coefficient reaches 95%. The influence of elastic modulus on the transfer efficiency is very significant when [Formula: see text][Formula: see text]m. The four-layer model performs similarly to the three-layer model within the paste length range of 1.0[Formula: see text]m, but has a superior strain transfer effect when the pasted length exceeds 1.0[Formula: see text]m. As the radius of the protective layer rises, the effect of strain transfer deteriorates.
The Multifractal Phenomenon of Stock Price Caused by “Tesla Rights Defense Event”
Authors: Wang Jian , Xu Heming , Ge Shanshan , Jiang Wenjing , Yan Yan , Shao Wei
Published: April 2024

In this paper, we explore the periodicity of the multifractal phenomenon of stock price caused by public relations events using the multifractal detrended fluctuation analysis (MF-DFA) method. The Tesla stock closing price in the context of the Tesla rights defense event is used to obtain the generalized Hurst exponent and multifractal spectrum. We find that the stock price exhibits multifractal characteristics. Afterwards, we conduct a multifractal time-varying analysis using high-frequency data for 12 time periods before and after the Tesla rights defense event, which happened on 19 April 2021. We calculate the [Formula: see text] and [Formula: see text] before and after the rights defense event to measure the degree of multifractal of Tesla stock price. In addition, we also compute the difference between the two [Formula: see text] and two [Formula: see text], which are regarded as [Formula: see text] and [Formula: see text]. The results show that the Tesla stock market efficiency degree raised as the period time increases until the eighth period. And after the eighth period, both [Formula: see text] and [Formula: see text] tend to be stable, and the degree of market efficiency caused by the Tesla rights defense event remains almost unchanged. In addition, we use three broad market indices in the context of the Russia–Ukraine conflict to test the universality. The three broad market indices are Dow Jones Industrial Average (DJIA), Shanghai Stock Exchange Composite Index (SSEC) and Nikkei 225 ETF (N225). The results demonstrate that with the extending of time period, [Formula: see text] and [Formula: see text] gradually stabilize, indicating that public memorability will diminish and the market efficiency almost remains unchanged.
EFFECT OF KNOWLEDGE LEADERSHIP ON KNOWLEDGE INNOVATION BEHAVIOUR OF KNOWLEDGE WORKER: THE ROLE OF FAILURE LEARNING AND FEAR OF FAILURE
Authors: ZHOU JIANMING , YIN LINGYUN , ZHU SIQI
Published: April 2024

In the era of knowledge economy, the promotion of knowledge worker’s knowledge innovation behaviour (KIB) is a crucial concern for research and development (R&D) team supervisors in the rapidly evolving and competitive technological landscape. The study reported here examined the relationship between knowledge leadership (KL) and KIB of knowledge workers by focusing on the mediating effect of failure learning (FL) and moderating effect of fear of failure (FF). Data from a two-wave survey of 211 R&D supervisor–employee matching questionnaires from 28 high-tech firms in China indicated that as predicted, KL was positively related to KIB of knowledge worker while knowledge worker’s FL mediated this relationship significantly. Moreover, the findings also found that knowledge worker’s FF not only negatively moderated the impact of KL on knowledge worker’s FL, but also affects the mediating effect of FL on the relationship between KL and KIB of knowledge worker. Specifically, higher levels of knowledge worker’s FF weaken the indirect effect of KL on knowledge worker’s KIB through FL. Our findings have a number of theoretical and practical implications for the research on managing knowledge workers and their KIB.
A Combined Decision-Making Analysis Under Single-Valued Neutrosophic Set for Selecting Favorable Knowledge Management Strategy
Authors: Abdullah Lazim , Zulkifli Norsyahida , Awang Noor Azzah , Hashim Hazwani
Published: April 2024

The Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are pivotal methods in multi-criteria decision-making, addressing causal relationships among criteria and ranking alternatives, respectively. This paper introduces a novel approach, integrating DEMATEL and TOPSIS under the framework of single-valued neutrosophic set (SVNS) to handle indeterminacy in decision-making. Applied to a knowledge management strategy case, the method utilizes eight criteria and four alternatives derived from the literature. The process involves DEMATEL for expert weight determination and direct-relation matrix creation through linguistic variable influence. Subsequently, TOPSIS is employed to rank alternatives based on distance measures. The combined method identifies the ‘Human Resource Department’ as the most crucial in knowledge management strategy. This integrated approach facilitates organizations in pinpointing vital criteria and alternatives for effective knowledge management. Comparative analyses with existing methods are also presented.
On r-dynamic k-coloring of ladder graph families
Authors: Irin Feno A. , Venkatachalam M. , Rathour Laxmi , Cangul I. N. , Abirami K.
Published: April 2024

The concept of [Formula: see text]-dynamic [Formula: see text]-coloring of a graph [Formula: see text] refers to a proper vertex [Formula: see text]-coloring where the number of colors assigned to the vertices in the neighborhood of each vertex [Formula: see text] is greater than or equal to the min [Formula: see text]. This study focuses on the [Formula: see text]-dynamic coloring of various types of ladder graphs, which are derived from the Cartesian product of [Formula: see text] and [Formula: see text], including the Diagonal Ladder Graph, Open Diagonal Ladder Graph, Triangular Ladder Graph, Open Triangular Ladder Graph and Slanting Ladder Graph.
Validating India’s Withdrawal from RCEP and Its Regional Future
Authors: Jain Monika
Published: April 2024

The withdrawal of India from negotiations on the world’s largest trade pact, the Regional Comprehensive Economic Partnership (RCEP), in November 2019 was a major setback for proponents of regional economic unity. This paper tries to evaluate India’s concerns and also the way forward for India. A review of trade between RCEP countries post-implementation is done to analyze India’s stand against joining the block. India decided to opt out of the agreement because of adverse trade balance, impact on the dairy sector, economic slowdown, experience with Free trade agreements (FTAs), China factor, data localization, rules of origin, and the experience of ASEAN countries with Sino-FTA have been some of the factors responsible for this decision. Bilateral trade agreements with Japan, Malaysia, Singapore, Thailand, Korea, Rep.and ASEAN were already in place. So, trade between India and 12 RCEP member countries would not have changed after India’s inclusion in RCEP. There was fear of a massive surge in imported manufactures from China and dairy imports from Australia and New Zealand. This paper also evaluates the long-term repercussions of this decision and whether India missed out on becoming part of the global value chain n having greater market access through this block. India’s experience following protectionist policies did not yield the desired results in the past. So, an in-depth analysis has been done to validate if India has made a mistake by not joining RCEP or if India’s concerns and fears were justified and its regional future.
Sensing and Control Integration for Thrust Vectoring in Heavy UAVs: Real-World Implementation and Performance Analysis
Authors: Isaac Mohammad Sadeq Ale , Peña Pablo Flores , Luna Marco Andrés , Ragab Ahmed Refaat , Campoy Pascual
Published: April 2024

Unmanned Aerial Vehicles (UAVs) have garnered significant attention among researchers due to their versatility in diverse missions and resilience in challenging conditions. However, electric UAVs often suffer from limited flight autonomy, necessitating the exploration of alternative power sources such as thermal engines. On the other hand, managing thermal engines introduces complexities and internal uncertainties into the system. In this paper, an Adaptive Robust attitude controller (ARAC) is proposed to address these challenges by drawing inspiration from helicopter solutions while minimizing mechanical intricacies. Specifically, the designed algorithm employs Thrust Vector Control (TVC) for an industrial heavy Multi-Ducted Fan (MDF), known for its superior static stability compared to conventional ducted fans. Subsequently, an integrated flap vanes system is positioned at the exhaust of the ducts for precise attitude control, effectively removing unwanted yaw moments associated with traditional propellers. This research builds on prior authors’ works to establish a proper mathematical and aerodynamic model. Also, using former simulation results to conduct real flight experiments aimed at enhancing TVC functionality. The findings highlight the effectiveness of this approach for heavy UAV applications. It is worth noting that the practical value of this research lies in its potential to significantly extend flight autonomy supplied by thermal engines and improve the resilience of UAVs in challenging real-world missions. This is particularly achievable provided that the design of flap vanes aligns closely with the dimensions of the duct system, offering a promising solution to a critical engineering challenge in the field of UAV technology.
Coagulation activity and thrombotic risk following high-volume endurance exercise in recreationally active cyclists
Authors: Collins Blake E. G. , Kingsley Michael , Gordon Brett A. , Zadow Emma K. , Wundersitz Daniel W. T.
Published: April 2024

In this study, a high-volume endurance exercise protocol induced markers of cardiac stress and altered plasma coagulation and fibrinolytic activity for up to 48 h in recreationally active cyclists. However, analysis of coagulation biomarkers indicates no increase in thrombotic risk when appropriate hydration and rest protocols are implemented.
Characterisation of the Endophytic and Rhizospheric Bacillus licheniformis Strains Isolated from Sweet Potato with Plant Growth‐Promoting and Yield Enhancing Potential
Authors: Bordé-Pavlicz Ádám , Zhumakayev Anuar Rysbekovich , Allaga Henrietta , Vörös Mónika , Ramteke Pramod Wasudeo , Monostori Tamás , Vágvölgyi Csaba
Published: April 2024

The primary aim of the present study was to identify bacterial isolates with yield‐enhancing potential for application as biofertilisers in the cultivation of sweet potato. Therefore, endophytic and rhizospheric strains were isolated from sweet potato plantations in Hungary to identify bacterial strains with plant growth‐promoting and antifungal potential. In total, seven Bacillus licheniformis strains were identified and subjected to detailed ecophysiological investigations. Experiments have been conducted to investigate the tolerance of selected strains to different limiting factors such as pH, temperature, and water activity, which affect survivability in various agricultural environments. The majority of tested B. licheniformis strains exhibited plant growth‐promoting potential (e.g., production of indole‐3‐acetic acid up to 40.42 μg mL−1, production of ammonia up to 0.87 mg mL−1, phosphorus solubilising activity, siderophore production), with two strains (SZMC 27713 and SZMC 27715) demonstrating inhibitory activity (ranging between 7% and 38%) against plant pathogenic fungi prevalent in sweet potato cultivation. Furthermore, strain SZMC 27715 induced accelerated germination and a significantly higher germination rate in tomato seeds compared to the control. In a field study, it was observed that strain SZMC 27715 had a potent yield enhancing effect in sweet potato, where a significant yield per plant increase was observed in all treatments (1.13, 1.09 and 1.40 kg) compared to the control plants (0.92 kg). The highest yield per plant was observed when the cuttings were soaked combined with two additional foliar treatments. To the best of our knowledge, this is the first report of the successful utilisation of the B. licheniformis strain as a biofertiliser for yield enhancement in sweet potato cultivation. Based on our results, strain SZMC 27715 has potential for application as a biofertiliser in sweet potato cultivation either as a standalone option or in a microbial consortium.
Presentation and Management of Acute Mania in Fanconi–Bickel Syndrome, A Metabolic Genetic Disorder
Authors: Chen Allen P. F. , Russell Geoffrey , Ashour Amnie , Yacoub Adeeb
Published: April 2024

Fanconi–Bickel syndrome (FBS) is a rare metabolic disorder caused by decreased glucose transporter 2 (GLUT2) function due to several known mutations in the SLC2A2 gene. As of 2020, 144 cases of FBS have been described in the literature. Metabolic and somatic sequelae include dysglycemia and accumulation of glycogen in the kidney and liver. However, there are no descriptions in the literature of possible neuropsychiatric manifestations of FBS. This case report is to our knowledge the first in this regard, describing a patient with FBS who was admitted to our psychiatric inpatient unit while experiencing acute mania. We conceptualize the case as a novel psychiatric presentation of acute mania in FBS, which may inform our understanding of bipolar disorder pathophysiology because of the hypothesized functional changes in neural pathways involving the paraventricular thalamus induced by decreased GLUT2 activity in FBS.
Biopriming of Momordica charantia Seeds with Enterobacter to Improve Nutritional and Biochemical Attributes
Authors: Bukhari Shazia Anwer , Farah Nabila , Mustafa Ghulam , Ahmed Sibtain , Albeshr Mohammed Fahad
Published: April 2024

The increasing world population needs a standard balanced diet to address malnutrition problems. For this purpose, seed priming is one of the best techniques, which helps to increase the production of functional and nutritional food crops. Different techniques have been used for seed priming, but biological priming is the most frequently used because biocontrol agents offer a friendly environment for the growth of food crops. In this study, Momordica charantia L. seeds were subjected to a strain of Enterobacter sp. FD17 as a biocontrol agent at different time exposures (i.e., 24 h, 48 h, and 72 h). Leaf growth, flavonoids, chlorophyll content, amino acids, soluble sugars, protein, and total soluble phenolics were studied in the vegetative stage. The yield of nutritive components was evaluated from fruit, peel, and pulp of M. charantia. Biopriming was revealed to improve the final emergence rate, mean emergence time, seedling vigor, emergence index, and vigor indices I and II. Among the growth parameters, the root (0.45 ± 0.045 g) and shoot fresh weight (1.23 ± 0.05 g), leaf area (15.52 ± 1.5 cm), shoot length (30.33 ± 0.58 cm), number of flowers (6 ± 1.0), fruit weight (96.33 ± 1.15 g), and germination percentage (56.67 ± 11.55%) were also improved. Among biochemical analyses, biopriming improved chlorophyll a (6.33 ± 0.58 mg/g) and b (8.58 ± 2.5 mg/g), total soluble sugar (33.13 ± 2.24%), and total chlorophyll content (9.0 ± 1.5 mg/g). The nutritional analysis showed that free amino acids (1.43 ± 0.02 mg/g), total soluble sugar (42.53 ± 1.65%), ash (20.53 ± 2.57%), and catalase (347.47 ± 34.76 U/g) were increased in fruit, while crude fiber (3.62 ± 0.1%) and peroxidase (5.61 ± 0.34 U/g) in peel and protein and metabolizable energy in peel and fruit were increased. Among the water, acetone, and methanol extracts, the maximum antibacterial activity was shown by methanol extracts of leaves against Gram-negative and Gram-positive bacterial species (i.e., Pseudomonas aeruginosa and Staphylococcus aureus, respectively) with inhibitory diameters of 3 mm. Biopriming also improved the phenolic contents in the leaves and fruits of M. charantia. Biopriming treatment was also revealed to be directly correlated with antiglycation activity. Therefore, biopriming treatment on seeds could be used to manipulate plant cell metabolism with a substantial improvement in phenolic content, antibacterial activity, and growth of M. charantia.
Supplementary Table S2 from Genome-Wide CRISPR Screens Identify Multiple Synthetic Lethal Targets That Enhance KRASG12C Inhibitor Efficacy
Authors: Mukhopadhyay Suman , Huang Hsin-Yi , Lin Ziyan , Ranieri Michela , Li Shuai , Sahu Soumyadip , Liu Yingzhuo , Ban Yi , Guidry Kayla , Hu Hai , Lopez Alfonso , Sherman Fiona , Tan Yi Jer , Lee Yeuan Ting , Armstrong Amanda P. , Dolgalev Igor , Sahu Priyanka , Zhang Tinghu , Lu Wenchao , Gray Nathanael S. , Christensen James G. , Tang Tracy T. , Velcheti Vamsidhar , Khodadadi-Jamayran Alireza , Wong Kwok-Kin , Neel Benjamin G.
Published: April 2024

Supplementary Table S2
Overlapping dropouts (FDR <0.1) from MRTX-849 CRISPR/Cas9 screens in NSCLC cell lines
Update on Cancer Predisposition Syndromes and Surveillance Guidelines for Childhood Brain Tumors
Authors: Hansford Jordan R. , Das Anirban , McGee Rose B. , Nakano Yoshiko , Brzezinski Jack , Scollon Sarah R. , Rednam Surya P. , Schienda Jaclyn , Michaeli Orli , Kim Sun Young , Greer Mary-Louise C. , Weksberg Rosanna , Stewart Douglas R. , Foulkes William D. , Tabori Uri , Pajtler Kristian W. , Pfister Stefan M. , Brodeur Garrett M. , Kamihara Junne
Published: April 2024

Tumors of the central nervous system (CNS) comprise the second most common group of neoplasms in childhood. The incidence of germline predisposition among children with brain tumors continues to grow as our knowledge on disease etiology increases. Some children with brain tumors may present with nonmalignant phenotypic features of specific syndromes (e.g., nevoid basal cell carcinoma syndrome, neurofibromatosis type 1 and type 2, DICER1 syndrome, and constitutional mismatch-repair deficiency), while others may present with a strong family history of cancer (e.g., Li–Fraumeni syndrome) or with a rare tumor commonly found in the context of germline predisposition (e.g., rhabdoid tumor predisposition syndrome). Approximately 50% of patients with a brain tumor may be the first in a family identified to have a predisposition. The past decade has witnessed a rapid expansion in our molecular understanding of CNS tumors. A significant proportion of CNS tumors are now well characterized and known to harbor specific genetic changes that can be found in the germline. Additional novel predisposition syndromes are also being described. Identification of these germline syndromes in individual patients has not only enabled cascade testing of family members and early tumor surveillance but also increasingly affected cancer management in those patients. Therefore, the AACR Cancer Predisposition Working Group chose to highlight these advances in CNS tumor predisposition and summarize and/or generate surveillance recommendations for established and more recently emerging pediatric brain tumor predisposition syndromes.
Comprehensive Genomic Profiling Alters Clinical Diagnoses in a Significant Fraction of Tumors Suspicious of Sarcoma
Authors: Öfverholm Ingegerd , Wallander Karin , Haglund Cecilia , Chellappa Venkatesh , Wejde Johan , Gellerbring Anna , Wirta Valtteri , Renevey Annick , Caceres Eva , Tsagkozis Panagiotis , Mayrhofer Markus , Papakonstantinou Andri , Linder-Stragliotto Christina , Bränström Robert , Larsson Olle , Lindberg Johan , Lin Yingbo , Haglund de Flon Felix
Published: April 2024

Purpose:

Tumor classification is a key component in personalized cancer care. For soft-tissue and bone tumors, this classification is currently based primarily on morphology assessment and IHC staining. However, these standard-of-care methods can pose challenges for pathologists. We therefore assessed how whole-genome and whole-transcriptome sequencing (WGTS) impacted tumor classification and clinical management when interpreted together with histomorphology.

Experimental Design:

We prospectively evaluated WGTS in routine diagnostics of 200 soft-tissue and bone tumors suspicious for malignancy, including DNA and RNA isolation from the tumor, and DNA isolation from a peripheral blood sample or any non-tumor tissue.

Results:

On the basis of specific genomic alterations or absence of presumed findings, WGTS resulted in reclassification of 7% (13/197) of the histopathologic diagnoses. Four cases were downgraded from low-grade sarcomas to benign lesions, and two cases were reclassified as metastatic malignant melanomas. Fusion genes associated with specific tumor entities were found in 30 samples. For malignant soft-tissue and bone tumors, we identified treatment relevant variants in 15% of cases. Germline pathogenic variants associated with a hereditary cancer syndrome were found in 22 participants (11%).

Conclusions:

WGTS provides an important dimension of data that aids in the classification of soft-tissue and bone tumors, correcting a significant fraction of clinical diagnoses, and identifies molecular targets relevant for precision medicine. However, genetic findings need to be evaluated in their morphopathologic context, just as germline findings need to be evaluated in the context of patient phenotype and family history.
Supplementary Table S1 from XTX301, a Tumor-Activated Interleukin-12 Has the Potential to Widen the Therapeutic Index of IL12 Treatment for Solid Tumors as Evidenced by Preclinical Studies
Authors: Patel Ekta , Malkova Natalia V. , Crowe David , Pederzoli-Ribeil Magali , Fantini Damiano , Fanny Manoussa , Madala Hanumantha Rao , Jenkins Kurt A. , Yerov Oleg , Greene Justin , Guzman Wilson , O'Toole Caitlin , Taylor Jacob , O'Donnell Rebekah K. , Johnson Parker , Lanter Bernard B. , Ames Brian , Chen Jia , Vu Sallyann , Wu Hsin-Jung , Cantin Susan , McLaughlin Megan , Hsiao Yu-Shan S. , Tomar Dheeraj S. , Rozenfeld Raphael , Thiruneelakantapillai Lakshmanan , O'Hagan Ronan C. , Nicholson Benjamin , O'Neil Jennifer , Bialucha Carl Uli
Published: April 2024

Supplementary Table S1: The catalytic efficiency (kcat/Km) of MMP cleavage of XTX301.
MMPs from 5 different classes, collagenases (MMP1 and MMP8), gelatinases (MMP2 and MMP9), matrilysin (MMP7), stromelysins (MMP10), and membrane-anchored (MMP14) were selected and evaluated for their ability to cleave XTX301 in vitro. The catalytic efficiency (kcat/Km) of the MMP cleavage of XTX301 was determined by incubating XTX301 with activated MMPs. The data points represent the mean of 2 independent experiments analyzed as technical replicates (in duplicate) by CE-SDS.
Supplementary Figures from Single-Cell RNA Sequencing Unifies Developmental Programs of Esophageal and Gastric Intestinal Metaplasia
Authors: Nowicki-Osuch Karol , Zhuang Lizhe , Cheung Tik Shing , Black Emily L. , Masqué-Soler Neus , Devonshire Ginny , Redmond Aisling M. , Freeman Adam , di Pietro Massimilliano , Pilonis Nastazja , Januszewicz Wladyslaw , O'Donovan Maria , Tavaré Simon , Shields Jacqueline D. , Fitzgerald Rebecca C.
Published: April 2024

This file captions for supplementary tables and supplementary figures S1-S28 together with their legends
Supplementary Figure 5 from Induction of Viral Mimicry Upon Loss of DHX9 and ADAR1 in Breast Cancer Cells
Authors: Cottrell Kyle A. , Ryu Sua , Pierce Jackson R. , Soto Torres Luisangely , Bohlin Holly E. , Schab Angela M. , Weber Jason D.
Published: April 2024

Supplementary Figure 5
Supplementary Figure 4 from Induction of Viral Mimicry Upon Loss of DHX9 and ADAR1 in Breast Cancer Cells
Authors: Cottrell Kyle A. , Ryu Sua , Pierce Jackson R. , Soto Torres Luisangely , Bohlin Holly E. , Schab Angela M. , Weber Jason D.
Published: April 2024

Supplementary Figure 4
FIGURE 1 from Induction of Viral Mimicry Upon Loss of DHX9 and ADAR1 in Breast Cancer Cells
Authors: Cottrell Kyle A. , Ryu Sua , Pierce Jackson R. , Soto Torres Luisangely , Bohlin Holly E. , Schab Angela M. , Weber Jason D.
Published: April 2024

Identification of putative ADAR1-interacting proteins by APEX2 proximity labeling. A, Representative immunoblot showing expression of the constructs used for proximity labeling in MCF-7, MDA-MB-231 and SK-BR-3, MDA-MB-231 is shown. B, Representative fluorescently stained gel image showing proteins purified by streptavidin-biotin pulldown following proximity labeling in MCF-7. C, Volcano plot summarizing the proteins identified by MS following streptavidin pulldown subsequent to proximity labeling. Differential abundance of all proteins in each cell line can be found in Supplementary Table S2. D, Venn diagram showing overlap between enriched proteins from all three cell lines. The cutoff for enriched proteins was an FDR-adjusted P value of less than 0.05 and a log2 fold change of greater than 0.5. E and F, Venn diagrams showing overlap between the enriched proteins identified and those proteins found previously to localize to the nucleus or nucleolus in MCF-7 (57). G, GO terms found to be overrepresented in the list of the enriched proteins. Only the top 10 GO terms, by FDR, are shown for each category. All other significant GO terms are available in the Supplementary Tables S3 and S4. H, Representative indirect immunofluorescence micrographs showing localization of ADAR1, fibrillarin (a nucleolar marker) and DAPI.
The Rise and Fall of Radioactive Carbon in the Atmosphere
Authors: Wulff Petter
Published: April 2024

The level of radioactive carbon dioxide in the atmosphere has shifted dramatically since the middle of the twentieth century. At that time, nuclear weapons tests resulted in considerably raised levels of the radioactive molecule. The impact peaked in the early 1960s and, since then, the radioactive level has come back almost to where it was before the nuclear test period. The ambition here is to discuss the character of the carbon dioxide curve in its different phases with an emphasis on what has happened after the atmospheric tests stopped. The curve’s behaviour seems to raise an interesting question for climate change theory.
Yard phytoarchitecture for onsite sanitation of household wastewater containing copper
Authors: Samudro Ganjar , Samudro Harida , Mangkoedihardjo Sarwoko
Published: April 2024

Copper can be found in various equipment, building materials, and consumer products. When buildings are used, copper can enter wastewater in different ways. It is challenging for occupants to remove copper physically or chemically since they can potentially reduce copper levels through yard phytoarchitecture. This study aims to formulate houseplants' suitability to become decorative plants for the yard phytoarchitecture, simultaneously as onsite sanitation. This study identified the copper deconcentration pathway in wastewater by studying published works-based research. Literature was collected and selected based on recency, accessibility, and the relationship among copper, wastewater, and plants. The study findings show that processing copper by plant has the greatest opportunity to be implemented on a building scale. The yard phytoarchitecture system involves arranging plants in the yard, which serves both as a decorative feature and a way to treat the building's wastewater. It can be used on dry yards or ponds and only requires a small amount of land. The plants used should have low leaf density and high root density. It plays a dual role consisting of onsite sanitation infrastructure and yard aesthetics, which mutually strengthen the environmental health locally and positively effect on a larger scale.
A network-based mobile positioning system using an optimization model
Authors: Sabri Ahmad , Kosasih Rifki
Published: April 2024

The expansion of cellular network coverage facilitates the advancement of research on network-based positioning. We are interested in the signal fingerprinting method to predict the location of a mobile device. By this method, the device must be within the fingerprint coverage to have a successful location prediction. However, any disturbance in the signal propagation would decrease the prediction accuracy. We propose an optimization model based on generalized triangulation combined with a signal fingerprint which is treated more adaptively in responding to any signal disturbance. The triangulation method determines the most likely region where the device is located. The solution provides the estimated longitude and latitude of the device. An illustration of the implementation of the model is presented. The model is assessed using the Indosat cellular network in three distinct testbeds in Indonesia, which are: South Jakarta, a metropolitan area; South Tangerang, a buffer area adjacent to the metropolitan area; and Malang, a city surrounded by rural areas. The most favorable outcome yields an average prediction error of 39.6 m, a maximum error of 197.08 m, a minimum error of 0.05 m, and a standard deviation of error of 39.22 m.
MIDI-based generative neural networks with variational autoencoders for innovative music creation
Authors: Rosalina Rosalina , Sahuri Genta
Published: April 2024

By utilizing variational autoencoder (VAE) architectures in musical instrument digital interface (MIDI)-based generative neural networks (GNNs), this study explores the field of creative music composition. The study evaluates the success of VAEs in generating musical compositions that exhibit both structural integrity and a resemblance to authentic music. Despite achieving convergence in the latent space, the degree of convergence falls slightly short of initial expectations. This prompts an exploration of contributing factors, with a particular focus on the influence of training data variation. The study acknowledges the optimal performance of VAEs when exposed to diverse training data, emphasizing the importance of sufficient intermediate data between extreme ends. The intricacies of latent space dimensions also come under scrutiny, with challenges arising in creating a smaller latent space due to the complexities of representing data in N dimensions. The neural network tends to position data further apart, and incorporating additional information necessitates exponentially more data. Despite the suboptimal parameters employed in the creation and training process, the study concludes that they are sufficient to yield commendable results, showcasing the promising potential of MIDI-based GNNs with VAEs in pushing the boundaries of innovative music composition.
Effect of cutting process using cutting insert of grade UTi20T
Authors: Nur Rusdi , Razak Arthur Halik , Basongan Yosrihard , Faraby Muhira Dzar , Syahrisal Syahrisal , Hidayat Asrul
Published: April 2024

In the metal-cutting industry, the precision of the metal-cutting process is of paramount importance. Errors in the metal-cutting process not only lead to damage to the cutting tool but also result in the production of low-quality materials. The incorporation of insert materials in the cutting process is aimed at maintaining cutting precision and achieving superior results. This research seeks to investigate the impact of the cutting process utilizing grade KC5410 cutting insert under minimum quantity lubrication (MQL) Conditions. In this study, machining tests were conducted using the ALPHA 1350S 2-axis computer numerical control (CNC) lathe machine under MQL conditions, employing cutting tool inserts UTi20T supplied by Mitsubishi. Two types of tools were utilized in the cutting process, namely UTi20T. Critical aspects such as cutting force, total power consumption, surface roughness, and tool life were analyzed to provide comprehensive insights into the efficiency of the cutting process. The findings of this study significantly contribute to the understanding of how the integration of Grade KC5410 cutting inserts under MQL conditions can enhance the overall efficiency of metal-cutting operations. The successful machinability assessment was conducted by implementing sustainable machining practices.
A review of the state of art and prospects in energy storage systems for energy harvesting applications
Authors: Sutikno Tole , Arsadiando Watra , Tan Chee Wei , Facta Mochammad
Published: April 2024

Due to the increasing trend in worldwide energy consumption, many new energy technology systems have emerged in the past decades. The implementation of energy storage system (ESS) technology in energy harvesting systems is significant to achieve flexibility and reliability in fulfilling the load demands. In this paper, several types of energy storage technologies available in the market are discussed to view their benefits and drawbacks. The main aim of this review is to provide a platform for readers especially those who seek to know more about ESS at a glance, to decide which ESS technology is best suited for any specific applications. This review would serve as a base for the initial state to make the right decision by referring to the criterias and characteristics of energy resources to get the optimal ESS technology. A comprehensive comparison among the various types of ESS technologies is outlined and elaborated to provide a better and clearer picture to the readers. Last but not least, the relevant recommendations and alternative choices for services related to the harvesting of solar PV energy are described too. It is hoped that the findings of this review article may be helpful to all readers interested in ESS technology.
Speed control of PM brushless DC motor using sensorless hybrid controller
Authors: Gebrehiwot Mogos Hailemikal , Sutikno Tole , Gebreslasie Samrawit Legesse , Hagos Haftom Aregawi
Published: April 2024

In most industrial processes, rising productivity necessitates increased demand on electrical motors in order to minimize costs and improve drive system efficiency. The sensorless technique is preferred. Brushless DC (BLDC) motors compete with a wide range of different motor types in the motion control industry. The nonlinearity of BLDC motor characteristics is challenging to manage with a traditional proportional integral derivative (PID) controller. The PID controller's fuzzy logic allowed it to tune itself while operating online. Hybrid approaches outperform stand-alone algorithms because they can overcome their weaknesses without losing their advantage. The purpose of this study is to present a fuzzy PI+D controller that is simulated over a wide range of reference speeds, loads, and parameter variations. This paper presents a model of a sensorless BLDC motor with a speed controller. The responses of the rotor speed, electromagnetic torque, stator back electromotive force (EMF), and stator currents are effectively monitored. The findings from the simulation indicate that the hybrid controller presented in this study exhibits resilience to rapid load torque and parameter fluctuation. Furthermore, it demonstrates superior dynamic performance and exhibits notable enhancements in speed tracking and system stability. The performance of the system is enhanced through the utilization of the proposed hybrid intelligent controller.
Comparative analysis of single-axis solar tracker performance with and without reflector under various weather conditions
Authors: Kusuma Vicky Andria , Firdaus Aji Akbar , Suprapto Sena Sukmananda , Yuniar Risty Jayanti , Trimulya Hanif , Priyanto Yun Tonce Kusuma
Published: April 2024

This research explores a sun tracking system for solar panels that affects the power output of the panels. To address this, a unidirectional sun tracking system is implemented to ensure the solar panels are perpendicular to the sun, thus optimizing solar radiation. Additionally, reflectors are integrated to capture more sunlight. This research aims to design the system of unidirectional sun tracking to enhance the power output generated by solar panels and compare its performance with stationary (static) solar panels. The results demonstrate that the system of sun tracking improves the power output of solar panels. However, when reflectors are used in conjunction with the sun tracking system, no significant increase in power output is observed. Moreover, solar panels equipped with the unidirectional sun tracking system exhibit a power increase of 52.06 Watts compared to stationary solar panels. This research indicates that employing a unidirectional sun tracking system with the addition of reflectors does not enhance power output but instead reduces it due to the increased temperature effect caused by the sunlight reflection from the added reflectors.
Three-phase model of SCIG-based variable speed wind turbine for unbalanced DSLF analysis
Authors: Yusuf Ismail , Gianto Rudy
Published: April 2024

Steady state performances of the electric power distribution system are normally assessed or evaluated based on load flow analysis. To properly carry out the analysis, a valid steady state load flow model of each distribution system component, including the wind power plant (WPP), needs to be developed. The present paper proposes a method for modeling and integrating squirrel cage induction generator (SCIG)-based variable speed WPP into a three-phase unbalanced distribution system load flow (DSLF) analysis. The proposed method is based on a single-phase T-circuit model of fixed speed WPP, which has successfully been applied to balanced electric power systems. In the present work, the single-phase T-circuit model is extended and modified to be used in steady state load flow analysis of three-phase unbalanced distribution systems embedded with SCIG-based variable speed WPP. Results of the case studies confirm the validity of the proposed method.
Adaptive synchronous sliding control for a robot manipulator based on neural networks and fuzzy logic
Authors: Nguyen Duc Dien , Vu Viet Thong
Published: April 2024

Robot manipulators have become important equipment in production lines, medical fields, and transportation. Improving the quality of trajectory tracking for robot hands is always an attractive topic in the research community. This is a challenging problem because robot manipulators are complex nonlinear systems and are often subject to fluctuations in loads and external disturbances. This article proposes an adaptive synchronous sliding control scheme to improve trajectory tracking performance for a robot manipulator. The proposed controller ensures that the positions of the joints track the desired trajectory, synchronize the errors, and significantly reduces chattering. First, the synchronous tracking errors and synchronous sliding surfaces are presented. Second, the synchronous tracking error dynamics are determined. Third, a robust adaptive control law is designed, the unknown components of the model are estimated online by the neural network, and the parameters of the switching elements are selected by fuzzy logic. The built algorithm ensures that the tracking and approximation errors are ultimately uniformly bounded (UUB). Finally, the effectiveness of the constructed algorithm is demonstrated through simulation and experimental results. Simulation and experimental results show that the proposed controller is effective with small synchronous tracking errors, and the chattering phenomenon is significantly reduced.
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logic controller
Authors: Haseeb Mahmoud , Hassan Ibrahim Mansour Ali , Othman El-Said A.
Published: April 2024

The power generated by photovoltaic (PV) systems is influenced by environmental factors. This variability hampers the control and utilization of solar cells' peak output. In this study, a single-stage grid-connected PV system is designed to enhance power quality. Our approach employs fuzzy logic in the direct power control (DPC) of a three-phase voltage source inverter (VSI), enabling seamless integration of the PV connected to the grid. Additionally, a fuzzy logic-based maximum power point tracking (MPPT) controller is adopted, which outperforms traditional methods like incremental conductance (INC) in enhancing solar cell efficiency and minimizing the response time. Moreover, the inverter's real-time active and reactive power is directly managed to achieve a unity power factor (UPF). The system's performance is assessed through MATLAB/Simulink implementation, showing marked improvement over conventional methods, particularly in steady-state and varying weather conditions. For solar irradiances of 500 and 1,000 W/m2, the results show that the proposed method reduces the total harmonic distortion (THD) of the injected current to the grid by approximately 46% and 38% compared to conventional methods, respectively. Furthermore, we compare the simulation results with IEEE standards to evaluate the system's grid compatibility.
A winding design for improving 3-phase induction motor performance
Authors: Anthony Zuriman , Bandri Sepannur , Erhaneli Erhaneli , Warmi Yusreni , Zulkarnaini Zulkarnaini , Dewi Rachman Arfita Yuana
Published: April 2024

One of the most popular electric motors used today is the 3-phase induction motor, which has a sturdy design, is less expensive, and is simple to use. Improvements to the materials used in the rotor or stator of induction motors, raising the number of motor phases, and employing a 3-phase induction motor for 1-phase power are just a few of the ways the motor is now being developed to perform better. These studies are all pricey, though. The goal of this study is to determine how to enhance the motor's performance at a reasonable cost. The suggested remedy was to create a 3-phase induction motor winding with a 1-layer design that resembled a symmetrical 6-phase winding. The primary study topics were the motor's rotor speed, mechanical torque, efficiency, and winding current when it was powered by a three-phase power source. The results of the study show that, although consuming less winding current, the 3-phase induction motor with a new winding design outperforms a traditional 3-phase induction motor in terms of rotor speed, mechanical torque, and efficiency.