bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determinants of E-Government Implementation in Indonesia
Authors: Novitasari Eka , Dewi Fajar Gustiawaty , Oktavia Reni 
Published: June 2022

Aims: This study aimed to determine the effect of Regional Original Income, general allocation funds, capital expenditures, audit opinions, and the level of public education on the implementation of e-Government in local governments in Indonesia.
Study Design: This study uses secondary data.
Place and Duration of Study: Local Government Financial Reports (LKPD) and audit opinions. This information can be found at the Supreme Audit Agency (BPK). The level of community education attainment uses the new Average Years of Schooling (RLS) method from the Central Statistics Agency (BPS) representative of each province from 2018 to 2020.
Methodology: The sample used is 347 local governments. The purposive sampling method and multiple regression analysis were used in this study and used the SPSS 25 analysis tool. Before running the regression test, the data was first tested using the classical assumption test.
Results: The independent variables in this study consisted of Regional Original Income (PAD), General Allocation Funds (DAU), Capital Expenditures, Audit Opinions, and Community Education Levels. At the same time, the dependent variable is the implementation of e-Government seen from the SPBE index value. This study carried out hypothesis testing with the Coefficient of Determination Test (R2) and the t-Statistical Test. The Coefficient of Determination Test (R2) measured how far the model's ability to explain the variance of the dependent variable was. The value of the coefficient of determination is zero or one. A small R2 value means the ability of the independent variables to provide almost all the information needed to predict the dependent variable variance [1]. At the same time, the t-test statistic shows how far the influence of one explanatory/independent variable individually in explaining the variation of the dependent variable results in a decision to reject or accept H0. This research was processed using IBM SPSS version 25 software.
Conclusion: In this study, the variables "Regional Original Income," "General Allocation Funds," "Opinion Audits," and "Community Education Levels" have a positive effect on the implementation of e-Government. On the other hand, the capital expenditure variable does not affect the implementation of e-Government.
Evaluation of the dosimetric and radiobiological parameters in four radiotherapy regimens for synchronous bilateral breast cancer
Authors: Kang Sang‐Won , Kang Seonghee , Lee Boram , Song Changhoon , Eom Keun‐Yong , Jang Bum‐Sup , Kim In Ah , Kim Jae‐Sung , Cho Woong , Shin Dong‐Suk , Kim Jin‐Young , Chung Jin‐Beom 
Published: June 2022

AbstractThis study is to investigate the optimal treatment option for synchronous bilateral breast cancer (SBBC) by comparing dosimetric and radiobiological parameters of intensity‐modulated radiotherapy (IMRT) and volumetric modulated arc therapy (VMAT) plans using single and dual isocenters.Twenty patients with SBBC without lymph node involvement were selected retrospectively. Four treatment plans were generated for each patient using the Eclipse treatment planning system (Varian Medical System, Palo Alto, CA, USA) following two delivery techniques with two isocenter conditions—IMRT using a single isocenter (IMRT_Iso1), VMAT using a single isocenter (VMAT_Iso1), IMRT using dual isocenters (IMRT_Iso2), and VMAT using dual isocenters (VMAT_Iso2). A dose of 42.56 Gy in 16 fractions was prescribed for the planning target volume (PTV). All plans were calculated using the Acuros XB algorithm and a photon optimizer for a 6‐MV beam of a Vital Beam linear accelerator. PTV‐related dosimetric parameters were analyzed. Further, the homogeneity index, conformity index, and conformation number were computed to evaluate plan quality. Dosimetric parameters were also measured for the organs at risk (OARs). In addition, the equivalent uniform dose corresponding to an equivalent dose related to a reference of 2 Gy per fraction, the tumor control probability, and the normal tissue complication probability were calculated based on the dose–volume histogram to investigate the radiobiological impact on PTV and OARs.IMRT_Iso1 exhibited similar target coverage and a certain degree of dosimetric improvement in OAR sparing compared to the other techniques. It also exhibited some radiobiological improvement, albeit insignificant. Although IMRT_Iso1 significantly increased monitor unit compared to VMAT_Iso1, which is the best option in terms of delivery efficiency, there was only a 22% increase in delivery time. Therefore, in conclusion, IMRT_Iso1, the complete treatment of which can be completed using a single setup, is the most effective method for treating SBBC.
Adaptive neural tracking control for non‐affine switched systems with multiple time delays and actuator faults
Authors: Wu Yang , Zhang Guoshan , Wu Li‐Bing 
Published: June 2022

SummaryIn this article, an adaptive output feedback neural tracking control algorithm is studied for non‐affine switched systems with multiple time delays and actuator faults. First, an adaptive neural state observer, which only needs to update a parameter online, is presented to estimate the unmeasurable state, and Lipschitz condition is used to deal with delay fault so as to avoid complex delay assumption. Then, by using online estimation information and backstepping technique, a switched fault‐tolerant control mechanism is established for non‐affine switched systems, the designed controller of each subsystems can ensure that non‐affine switched systems output signal can track reference signal under switch signals with average dwell time and all closed‐loop signals are bounded in the presence of multiple time delays, actuator faults, and external disturbances. Finally, simulation results verify the effectiveness of the proposed algorithm.
Adaptive event‐triggered asynchronous fault‐tolerant control for stochastic systems with multiple‐types of failures
Authors: Zhu Shuai , Li Jian‐Ning , Wang Ai‐Min 
Published: June 2022

SummaryThis article studies a kind of asynchronous fault‐tolerant control problem for stochastic systems (Markov jump systems, MJSs) with multiple‐types of actuator failures. Both the loss of effectiveness and stuck fault of actuator are taken into consideration in a unified actuator failures model. The asynchronization phenomenon between the controller and the original system is described by a hidden Markov model. By coupling the unknown stuck fault of actuator and the external disturbances together, the stuck fault and disturbance can be estimated simultaneously. After this, a fault‐tolerant controller based on the estimated values is designed further to automatically compensate for the faults while preserving the uniformly ultimate boundedness of the solutions. Moreover, a mode‐dependent adaptive event‐triggered mechanism is introduced to limit the number of packets sent on the network. Finally, a numerical example is employed to illustrate the effectiveness of the proposed design scheme.
Defects Passivation Strategy for Efficient and Stable Perovskite Solar Cells
Authors: Cao Yunxuan , Gao Fangliang , Xiang Ling , Li Hanfang , Li Dongyang , Liu Qing , Liu Hongliang , Zou Can , Li Shuti 
Published: June 2022

AbstractLarge area, high efficiency, and long‐term device stability are integral performance requirements for the commercialization of perovskite solar cells (PSCs). However, the high defect states density formed during the process of device preparation plays a cardinal effect in the charge recombination and ion migration process. The existence of defect states will not only seriously impair the stability but also hinder the efficiency enhancement of PSCs. A large number of studies aiming to solve this problem show that the defects can be reduced to enhance the photovoltaic performance and stability of derived PSCs by tailoring the terminal groups on the perovskite surface and modifying the surface chemical environment. Herein, a systematic and comprehensive review on the development of interfaces passivation (including the anode buffer layer, electron transport layer, the perovskite grains, and hole transport layer) for PSCs is summarized. Based on the defect passivation engineering, various feasible strategies are proposed to break the bottleneck of the commercialization process PSCs.
Experimental and Theoretical Study of Stable and Metastable Phases in Sputtered CuInS2
Authors: Larsen Jes K. , Sopiha Kostiantyn V. , Persson Clas , Platzer‐Björkman Charlotte , Edoff Marika 
Published: June 2022

AbstractThe chalcopyrite Cu(In,Ga)S2 has gained renewed interest in recent years due to the potential application in tandem solar cells. In this contribution, a combined theoretical and experimental approach is applied to investigate stable and metastable phases forming in CuInS2 (CIS) thin films. Ab initio calculations are performed to obtain formation energies, X‐ray diffraction (XRD) patterns, and Raman spectra of CIS polytypes and related compounds. Multiple CIS structures with zinc‐blende and wurtzite‐derived lattices are identified and their XRD/Raman patterns are shown to contain overlapping features, which could lead to misidentification. Thin films with compositions from Cu‐rich to Cu‐poor are synthesized via a two‐step approach based on sputtering from binary targets followed by high‐temperature sulfurization. It is discovered that several CIS polymorphs are formed when growing the material with this approach. In the Cu‐poor material, wurtzite CIS is observed for the first time in sputtered thin films along with chalcopyrite CIS and CuAu‐ordered CIS. Once the wurtzite CIS phase has formed, it is difficult to convert into the stable chalcopyrite polymorph. CuIn5S8 and NaInS2 accommodating In‐excess are found alongside the CIS polymorphs. It is argued that the metastable polymorphs are stabilized by off‐stoichiometry of the precursors, hence tight composition control is required.
Spontaneous xenogeneicGvHDin Wilms' tumorPatient‐Derivedxenograft models and potential solutions
Authors: Monzavi Seyed Mostafa , Muhammadnejad Ahad , Behfar Maryam , Khorsand Amir Arsalan , Muhammadnejad Samad , Kajbafzadeh Abdol‐Mohammad 
Published: June 2022

AbstractSeverely immunocompromised NOD.Cg‐PrkdcscidIl2rgtm1Sug(NOG) mice are among the ideal animal recipients for generation of human cancer models. Transplantation of human solid tumors having abundant tumor‐infiltrating lymphocytes (TILs) can induce xenogeneic graft‐versus‐host disease (xGvHD) following engraftment and expansion of the TILs inside the animal body. Wilms' tumor (WT) has not been recognized as a lymphocyte‐predominant tumor. However, 3 consecutive generations of NOG mice bearing WT patient‐derived xenografts (PDX) xenotransplanted from a single donor showed different degrees of inflammatory symptoms after transplantation before any therapeutic intervention. In the initial generation, dermatitis, auto‐amputation of digits, weight loss, lymphadenopathy, hepatitis, and interstitial pneumonitis were observed. Despite antibiotic treatment, no response was noticed, and thus the animals were prematurely euthanized (day 47 posttransplantation). Laboratory and histopathologic evaluations revealed lymphoid infiltrates positively immunostained with anti‐human CD3 and CD8 antibodies in the xenografts and primary tumor, whereas no microbial infection or lymphoproliferative disorder was found. Mice of the next generation that lived longer (91 days) developed sclerotic skin changes and more severe pneumonitis. Cutaneous symptoms were milder in the last generation. The xenografts of the last 2 generations also contained TILs, and lacked lymphoproliferative transformation. The systemic immunoinflammatory syndrome in the absence of microbial infection and posttransplant lymphoproliferative disorder was suggestive of xGvHD. While there are few reports of xGvHD in severely immunodeficient mice xenotransplanted from lymphodominant tumor xenografts, this report for the first time documented serial xGvHD in consecutive passages of WT PDX‐bearing models and discussed potential solutions to prevent such an undesired complication.
Comparison of the effectiveness of pericardiocentesis and surgical pericardiotomy in the prognosis of patients with blunt traumatic cardiac tamponade: a multicenter study using the Japan Trauma Data Bank
Authors: Omoto Kenichiro , Tanaka Chie , Fukuda Reo , Tagami Takashi , Unemoto Kyoko 
Published: June 2022

AimTo compare the prognostic impact of pericardiocentesis (PCC) and surgical pericardiotomy (SP) in blunt traumatic pericardial tamponade.MethodsAmong 361,706 trauma patients registered in the Japan Trauma Data Bank from January 2004 to December 2018, we included those with blunt traumatic cardiac tamponade who underwent PCC and/or SP. We excluded patients with penetrating trauma, age younger than 15 years, Injury Severity Score (ISS) equal to 75, blood pressure 0 mmHg at the time of admission, head Abbreviated Injury Scale (AIS) score 5 or more, and those with missing data for outcomes. To examine the effect of SP, patients were divided into a PCC group and an SP‐only group. Missing values of age, sex, systolic blood pressure, respiratory rate, pulse rate, time from emergency call to hospital arrival, head AIS, chest AIS, abdomen/pelvis AIS, Glasgow Coma Scale score, and ISS were estimated using multiple imputation. In‐hospital mortality was analyzed using multivariable analysis, and we undertook a survival analysis.ResultsWe analyzed 305 patients, 150 (49.2%) in the PCC group and 155 (50.8%) in the SP‐only group. The in‐hospital mortality rate was 40.7% in the PCC group and 76.8% in the SP‐only group. Multivariable analysis after multiple imputation showed an odds ratio of SP for in‐hospital mortality 5.34 (95% confidence interval, 2.80–10.18; P < 0.01) compared with PCC. Using the Kaplan–Meier method, SP showed a significant risk of mortality (hazard ratio 2.16; 95% confidence interval, 1.58–2.95; P < 0.01).ConclusionsIn patients with blunt traumatic cardiac tamponade, SP was associated with poor prognosis.
Monoterpenoid Quinoline Alkaloids from Stems and Leaves of Melodinus tenuicaudatus
Authors: Wu Feng , Chen Yi , Yin Jie‐Lin , Zhu Cun‐Hui , Zhang Yan , Liu Ji‐Kai , He Juan 
Published: June 2022

AbstractTwo previously undescribed monoterpenoid quinoline alkaloids, namely melotenucadines A and B, together with four known analogs, were characterized from the stems and leaves of Melodinus tenuicaudatus. The structures of the new compounds were established by extensive MS and NMR spectroscopic methods, while the absolute configuration was conducted by ECD calculations. Melotenucadine B was found to show certain cytotoxicity to MCF‐7 cell (IC50=27.3 μM).
New Cytochalasin Derivatives from Deep‐Sea Cold Seep‐Derived Endozoic Fungus Curvularia verruculosa CS‐129
Authors: Hu Xue‐Yi , Li Xiao‐Ming , Yang Sui‐Qun , Wang Bin‐Gui , Meng Ling‐Hong 
Published: June 2022

AbstractTwo new antimicrobial cytochalasin derivatives, 6β,7β‐epoxydeoxaphomin C (1) and 12‐hydroxydeoxaphomin C (2), a new natural occurring product 24‐nor‐cytochalasin B (3), together with two related known analogs (4–5) were isolated and identified from an endozoic fungus Curvularia verruculosa CS‐129, isolated from the deep‐sea squat lobster Shinkaia crosnieri which was collected in cold seep region of south China sea. The structures of new compounds were elucidated on the basis of detailed spectroscopic analysis and ECD calculation. The spectroscopic data of 24‐nor‐cytochalasin B (3) were reported for the first time. All compounds were tested for their antibacterial activities against human and aquatic pathogenic bacteria.
Surgical excision of complex lipoma from the foot: A case report
Authors: Uddin Akram , Flanagan George , Reilly Ian 
Published: June 2022

AbstractMalignant soft tissue tumors of the foot and ankle are rare but diagnostic imaging and/or interventional biopsy are vital to establish the nature and grading of a suspicious tumor prior to definitive surgical intervention. The purpose of the study is to provide an account on how a symptomatic mass of the plantar aspect of the foot warranted a referral to a sarcoma center, highlighting the importance of having access to diagnostic imaging and a pathway to refer suspected cases to specialist centers. A single patient with a symptomatic soft tissue tumor of the plantar foot was referred from our service to the regional sarcoma center who considered to be benign, and therefore, open surgical resection was performed by our team. Histopathological analysis identified the excised mass as a lipoma. At 2 years, postoperatively there was no recurrence, and the patient presented with an asymptomatic foot. United Kingdom (UK) guidelines suggest that all soft tissue masses of suspicious nature, greater than 50 mm, deep seated irrespective of size, or fast growing lesions should be referred to a sarcoma unit prior to surgical management. European guidance identifies a threshold of 15 mm for a mass in the foot. Patients presenting with red flag symptoms irrespective of size of mass should be referred to a sarcoma center. Advanced imaging and multidisciplinary input to enable appropriate surgical planning is recommended for suspicious soft tissue tumors that present to the foot and ankle surgeon.
Ultrasensitive Electrochemical Detection of Carcinoembryonic Antigen with a Label‐Free Immunosensor Using Gold Nanoparticle‐Decorated Poly(pyrrole‐co‐3,4‐ethylenedioxythiophene)
Authors: Dokur Ebrar , Uruc Selen , Gorduk Ozge , Sahin Yucel 
Published: June 2022

AbstractIn this study, an electrochemical immunosensor was developed using gold nanoparticles (AuNPs), 3,4‐ethylenedioxythiophene (EDOT), and pyrrole (Py) to detect carcinoembryonic antigen (CEA) sensitively. Firstly, the electrocopolymerization of PPy and EDOT was carried out on a pencil graphite electrode (PGE) by the chronoamperometry method (p(Py‐co‐EDOT)/PGE). Then, gold nanoparticles were electrochemically deposited on the prepared p(Py‐co‐EDOT)/PGEs by the chronoamperometry method. The characterizations of the developed label‐free immunosensor (AuNPs/p(Py‐co‐EDOT)/PGE) were carried out using CV, EIS, XPS, SEM, EDX, and FTIR methods. Antibody concentration, antibody immobilization time, and immunocomplex time were optimized using differential pulse voltammetry (DPV). After optimal conditions are determined, the DPV peak current of the immunosensor decreases linearly with increasing CEA concentration of 0.001–100 ng mL−1. The detection limit was calculated as 0.741 pg mL−1 from the calibration graph (S/N=3). The developed sensor showed excellent anti‐interference ability against ascorbic acid, bovine serum albumin, dopamine, and glucose. The applicability of the developed sensor to real samples was investigated, and good recovery values were obtained. As a result, the AuNPs/p(Py‐EDOT)/PGE provides low‐cost, selective, and rapid detection of CEA. Our findings suggest the present immunosensor is a good candidate for application in clinical screening.
The roles of ubiquitination‐mediated intrinsic apoptotic signalling in cancer therapy
Authors: Che Tiantian , Lin Zhenghong 
Published: June 2022

AbstractUbiquitination, a highly versatile process of protein homeostasis, participates in the degradation of the vast majority of cellular proteins. In addition to proteolytic function, ubiquitination can also conduce to modulate cellular processes independent of proteolysis, such as signal transduction, protein trafficking, DNA repair and so on. Apoptosis modulates cell quantity via orderly removing damaged cells effectively and plays a fundamental role in the function of multicellular organisms as well homeostasis, while abnormal regulation of apoptosis can lead to various diseases, especially cancer. Since various tumour cells intrinsically elude apoptotic elimination, emerging strategies targeting induction of apoptosis have become great potential and often necessary cancer therapeutic approaches. Numerous researches have shown that ubiquitination can facilitate or inhibit apoptosis by utilising its proteolytic or non‐proteolytic functions aiming at controlling the levels of key proteins. In this review, we focused on intrinsic apoptosis and summarised how diverse types of ubiquitination regulate intrinsic apoptosis through E3 ligases and deubiquitinating enzymes. Given the mechanisms of ubiquitin‐mediated regulation of intrinsic apoptosis and their physiological relevance, we hope that it will supply more therapeutic strategies for cancer.
Machine learning optimized multiparameter radar plots for B‐cell acute lymphoblastic leukemia minimal residual disease analysis
Authors: Shopsowitz Kevin E. , Liu Lorraine , Setiadi Audi , Al‐Bakri Maryam , Vercauteren Suzanne 
Published: June 2022

AbstractBackgroundFlow cytometry is widely used for B‐ALL minimal residual disease (MRD) analysis given its speed, availability, and sensitivity; however, distinguishing B‐lymphoblasts from regenerative B‐cells is not always straightforward. Radar plots, which project multiple markers onto a single plot, have been applied to other MRD analyses. Here we aimed to develop optimized radar plots for B‐ALL MRD analysis.MethodsWe compiled Children's Oncology Group (COG) flow data from 20 MRD‐positive and 9 MRD‐negative B‐ALL cases (enriched for hematogones) to create labeled training and test data sets with equal numbers of B‐lymphoblasts, hematogones, and mature B‐cells. We used an automated approach to create hundreds of radar plots and ranked them based on the ability of support vector machine (SVM) models to separate blasts from normal B‐cells in the training data set. Top‐performing radar plots were compared with PCA, t‐SNE, and UMAP plots, evaluated with the test data set, and integrated into clinical workflows.ResultsSVM area under the ROC curve (AUC) for COG tube 1/2 radar plots improved from 0.949/0.921 to 0.989/0.968 after optimization. Performance was superior to PCA plots and comparable to UMAP, but with better generalizability to new data. When integrated into an MRD workflow, optimized radar plots distinguished B‐lymphoblasts from other CD19‐positive populations. MRD quantified by radar plots and serial gating were strongly correlated.DiscussionRadar plots were successfully optimized to discriminate between diverse B‐lymphoblast populations and non‐malignant CD19‐positive populations in B‐ALL MRD analysis. Our novel radar plot optimization strategy could be adapted to other MRD panels and clinical scenarios.
Toward an improved understanding of causation in the ecological sciences
Authors: Addicott Ethan T , Fenichel Eli P , Bradford Mark A , Pinsky Malin L , Wood Stephen A 
Published: June 2022

AbstractSociety increasingly demands accurate predictions of complex ecosystem processes under novel conditions to address environmental challenges. However, obtaining the process‐level knowledge required to do so does not necessarily align with the burgeoning use in ecology of correlative model selection criteria, such as Akaike information criterion. These criteria select models based on their ability to reproduce outcomes, not on their ability to accurately represent causal effects. Causal understanding does not require matching outcomes, but rather involves identifying model forms and parameter values that accurately describe processes. We contend that researchers can arrive at incorrect conclusions about cause‐and‐effect relationships by relying on information criteria. We illustrate via a specific example that inference extending beyond prediction into causality can be seriously misled by information‐theoretic evidence. Finally, we identify a solution space to bridge the gap between the correlative inference provided by model selection criteria and a process‐based understanding of ecological systems.