bluuebunny/crossref_metadata_2025 huggingface dataset:
Roof Bolting Anchoring Performance Research on the Entry under the Gob of Close-Distance Coal Seam
Authors: Yang Yongjie , Huang Gang , Ji Haiyu
Published: May 2022

Seam spacing plays a crucial role in selecting roof bolting of the close-distance coal seam. This work utilized three methods to determine the minimum roof bolting seam spacing of the lower coal seam (LCS) entry after the upper coal seam (UCS) mining. Based on the entry of the No.3-2 coal seam (LCS) in Chaili Coal Mine in China, theoretical analysis, pull-out bolt test, and numerical simulation were performed to calculate the maximum floor failure depth of the UCS and to determine the minimum seam spacing of the roof bolting. The maximum floor failure depth of the UCS determined through theoretical analysis and numerical simulation is 3.2 m and 3.3 m, respectively. In general, the anchorage length of rock bolting is less than 2.4 m, so the minimum seam spacing is 5.6 m or 5.7 m. To further determine the anchorage performance of the roof, the pull-out test was employed on the entry roof of the LCS. When the seam spacing is no less than 6 m, the test results show that the pull-out force of the bolt is more significant than 30kN; in addition, the numerical simulation results indicate that the roof-to-floor and rib-to-rib convergence are relatively small. Therefore, the LCS entry’s minimum roof bolting seam spacing can be determined as 6 m. This study could be used to select and design roof bolting under similar close-distance coal seam conditions.
Application Analysis of UPOINT System in Chinese Type III Prostatitis Patients: A Single Center Experience
Authors: Zhang Zhongxiao , Su Xiaonan , Cai Chengfeng , Wang Zehua
Published: May 2022

Objective. UPOINT clinical phenotype system was used to estimate the type III prostatitis patients. Put in the erectile dysfunction (ED) domain and analysis the ED domain’s effect towards the UPOINT system. Methods. A total of 126 patients with type III prostatitis were prospectively collected and classified in each domain of the UPOINT system, including urinary, psychosocial, organ-specific, infection, neurological/systemic, and tenderness. Symptom severity was measured using the national institutes of health chronic prostatitis symptom index (NIH-CPSI) and the international prostate symptom score (IPSS). The erectile function was evaluated using the international index of erectile function (IIEF-5). Mental state was evaluated using the Symptom Checklist 90 (SCL-90). The quality of life of patients was assessed by the Quality of Life scale (QoL). Results. The percentage of patients positive for each domain was 60.32%, 43.65%, 53.17%, 11.11%, 42.06%, and 33.33% for the urinary, psychosocial, organ-specific, infection, neurological/systemic, and tenderness, respectively. There were significant correlations between the number of positive UPOINT domains and total NIH-CPSI (

r
=
0.630

,

P
<
0.001

) and IPSS (

r
=
0.429

,

P
<
0.001

). Symptom duration was associated with a number of positive domains (

r
=
0.194

,

P
<
0.05

). After adding an ED domain to establish a modified UPOINT system, the correlation between the number of positive domains and symptom severity was not improved (0.630 to 0.590,

P
<
0.001

). The percentage of the patients who suffered psychosocial problems was 43.65%. Conclusions. In our cohort, the number of positive domains was correlated with symptom severity. Inclusion of the ED phenotype in the UPOINT phenotype classification system did not significantly enhance the association of positive presentation with symptom severity. Our findings presented do not support the utility of using ED as a stand-alone item in the UPOINT domain. Psychological problems should be considered when treating type III prostatitis patients.
Therapeutic Effect and Prognosis of Biliary Tract Tumor Transformation
Authors: Shang PeiPei , Yu Yong , Yan PeiNing , Xu HeMing
Published: May 2022

Biliary tract tumor is a common malignant disease in clinical practice. Its incidence rate and mortality rate are high, which seriously endangers the health of the people. At present, gastrointestinal surgery is mainly used to treat patients at home and abroad. This paper discusses the main risk factors of biliary tract cancer transformation, analyzes its prognostic characteristics and clinical efficacy, and compares them by comprehensive evaluation methods such as observation group control method, blood routine examination and treatment. The results are as follows: the postoperative adverse reactions in the control group are more obvious than those in the experimental group. There were no obvious clinical manifestations or adverse reactions in the experimental group. The therapeutic effect of biliary tumor transformation can effectively help patients improve their quality of life. Through the prognosis recovery of biliary tract tumor transformation treatment, the health level of patients in the experimental group was higher than that in the control group.
Painting Classification in Art Teaching under Machine Learning from the Perspective of Emotional Semantic Analysis
Authors: Liang Jia , Xiao Zhenqiu
Published: May 2022

This paper aims to explore the Painting Classification in art teaching under Machine Learning. Based on Emotional Semantics and Machine Learning, the Emotional Semantics of the traditional image are expounded. Firstly, Emotional Semantics are applied to figure painting in art teaching. Then, the convolutional sparse automatic encoder model is introduced in Painting Classification. Finally, the accuracies of the Painting Classification of the Support Vector Machine classifier (SVMC) and that of the Naive Bayes classifier are compared, and the relevant conclusions are drawn. The accuracy of Painting Classification is positively correlated with the scale of painting. After analysis, the painting set is classified in a ratio of 2 : 1, with 2/3 as training set and 1/3 as test set, which is conducive to the good accuracy of classification. In Machine Learning, proper whitening can improve the accuracy of Painting Classification to a certain extent. However, when the whitening treatment coefficient is selected, it cannot be too large, and the average pooling is more accurate than maximum pooling. After the comparison of the new SVMC, the Naive Bayes classifier, and the convolutional sparse automatic encoder, the convolutional sparse automatic encoder has the highest accuracy of Painting Classification. Therefore, the Painting Classification in art teaching under Machine Learning is explored, which is of great help to the classification work of students or teachers in the future.
Implementation of the Human‐Like Lane Changing Driver Model Based on Bi‐LSTM
Authors: Cai Junyu , Jiang Haobin , Wang Junyan
Published: May 2022

If the driving behavior of an autonomous vehicle is similar to that of a skilled driver, the human driver can extricate himself from fatigue operation and the comfort of passengers can also be guaranteed. Therefore, this paper studies the human‐like lane‐changing model of an autonomous vehicle. The lane‐changing characteristic data of skilled drivers are collected and analyzed through a real vehicle test. Then, comparing the MPC‐based driver model with the steering wheel angle of human drivers, we found that the MPC‐based model could hardly reflect the maneuvering characteristics of human drivers, so we proposed a driver model with steering wheel angle continuity for human drivers. This paper uses four neural network models to compare the prediction on the test set, then uses different input types to compare the prediction accuracy of the model, and finally verifies the generalization ability of the model on the verification set. These three test results show that the prediction results of the human‐like lane‐changing driving model based on Bi‐LSTM are closest to the real steering wheel angle sequence of skilled drivers. The test results demonstrate that the Bi‐LSTM‐based human‐like lane‐changing driving model achieves 9.8% RMSE and 6.8% MAE, which improves 10.8% RMSE and 10.3% MAE over LSTM. The model can generate the steering wheel angle sequence in the process of lane changing like a human, so as to realize the human simulation control of an autonomous vehicle for lane‐changing conditions.
A Phase III Multicenter Randomized Clinical Trial of 60 Gy versus 50 Gy Radiation Dose in Concurrent Chemoradiotherapy for Inoperable Esophageal Squamous Cell Carcinoma
Authors: Xu Yujin , Dong Baiqiang , Zhu Weiguo , Li Jiancheng , Huang Rong , Sun Zongwen , Yang Xinmei , Liu Liping , He Han , Liao Zhongxing , Guan Ni , Kong Yue , Wang Wanwei , Chen Jianxiang , He Huijuan , Qiu Guoqin , Zeng Ming , Pu Juan , Hu Wangyuan , Bao Yong , Liu Zhigang , Ma Jun , Jiang Hao , Du Xianghui , Hu Jin , Zhuang Tingting , Cai Jing , Huang Jin , Tao Hua , Liu Yuan , Liang Xiaodong , Zhou Juying , Tao Guangzhou , Zheng Xiao , Chen Ming
Published: May 2022

Purpose:

In this multicenter phase 3 trial, the efficacy and safety of 60 Gy and 50 Gy doses delivered with modern radiotherapy technology for definitive concurrent chemoradiotherapy (CCRT) in patients with inoperable esophageal squamous cell carcinoma (ESCC) were evaluated.

Patients and Methods:

Patients with pathologically confirmed stage IIA‒IVA ESCC were randomized 1:1 to receive conventional fractionated 60 Gy or 50 Gy to the tumor and regional lymph nodes. Concurrent weekly chemotherapy (docetaxel 25 mg/m2; cisplatin 25 mg/m2) and two cycles of consolidation chemotherapy (docetaxel 70 mg/m2; cisplatin 25 mg/m2 days 1‒3) were administered.

Results:

A total of 319 patients were analyzed for survival, and the median follow-up was 34.0 months. The 1- and 3-year locoregional progression-free survival (PFS) rates for the 60 Gy group were 75.6% and 49.5% versus 72.1% and 48.4%, respectively, for the 50 Gy group [HR, 1.00; 95% confidence interval (CI), 0.75‒1.35; P = 0.98]. The overall survival rates were 83.7% and 53.1% versus 84.8% and 52.7%, respectively (HR, 0.99; 95% CI, 0.73‒1.35; P = 0.96), whereas the PFS rates were 71.2% and 46.4% versus 65.2% and 46.1%, respectively (HR, 0.97; 95% CI, 0.73‒1.30; P = 0.86). The incidence of grade 3+ radiotherapy pneumonitis was higher in the 60 Gy group (nominal P = 0.03) than in the 50 Gy group.

Conclusions:

The 60 Gy arm had similar survival endpoints but a higher severe pneumonitis rate compared with the 50 Gy arm. Fifty Gy should be considered as the recommended dose in CCRT for ESCC.
Neuroendocrine and Rare Tumor Advances: A New and Promising TRAIL Emerges
Authors: Owen Dwight H. , Trikalinos Nikolaos A.
Published: May 2022

ONC201 is an oral selective antagonist of the dopamine D2 receptor and direct activator of caseinolytic protease P. In a phase II study, ONC021 was shown to be well tolerated with notable efficacy in patients with the rare neuroendocrine neoplasms pheochromocytomas-paragangliomas, although biomarkers for activity remain to be elucidated.

See related article by Anderson et al., p. 1773
Phase IB Study of GITR Agonist Antibody TRX518 Singly and in Combination with Gemcitabine, Pembrolizumab, or Nivolumab in Patients with Advanced Solid Tumors
Authors: Davar Diwakar , Zappasodi Roberta , Wang Hong , Naik Girish S. , Sato Takami , Bauer Todd , Bajor David , Rixe Olivier , Newman Walter , Qi Jingjing , Holland Aliya , Wong Phillip , Sifferlen Lianna , Piper Diane , Sirard Cynthia A. , Merghoub Taha , Wolchok Jedd D. , Luke Jason J.
Published: May 2022

Purpose:

TRX518 is a mAb engaging the glucocorticoid-induced TNF receptor−related protein (GITR). This open-label, phase I study (TRX518-003) evaluated the safety and efficacy of repeated dose TRX518 monotherapy and in combination with gemcitabine, pembrolizumab, or nivolumab in advanced solid tumors.

Patients and Methods:

TRX518 monotherapy was dose escalated (Part A) and expanded (Part B) up to 4 mg/kg loading, 1 mg/kg every 3 weeks. Parts C–E included dose-escalation (2 and 4 mg/kg loading followed by 1 mg/kg) and dose-expansion (4 mg/kg loading) phases with gemcitabine (Part C), pembrolizumab (Part D), or nivolumab (Part E). Primary endpoints included incidence of dose-limiting toxicities (DLT), serious adverse events (SAE), and pharmacokinetics. Secondary endpoints were efficacy and pharmacodynamics.

Results:

A total of 109 patients received TRX518: 43 (Parts A+B), 30 (Part C), 26 (Part D), and 10 (Part E), respectively. A total of 67% of patients in Parts D+E had received prior anti–PD(L)1 or anti–CTLA-4. No DLTs, treatment-related SAEs, and/or grade 4 or 5 AEs were observed with TRX518 monotherapy. In Parts C–E, no DLTs were observed, although TRX518-related SAEs were reported in 3.3% (Part C) and 10.0% (Part E), respectively. Objective response rate was 3.2%, 3.8%, 4%, and 12.5% in Parts A+B, C, D, and E, respectively. TRX518 affected peripheral and intratumoral regulatory T cells (Treg) with different kinetics depending on the combination regimen. Responses with TRX518 monotherapy+anti–PD1 combination were associated with intratumoral Treg reductions and CD8 increases and activation after treatment.

Conclusions:

TRX518 showed an acceptable safety profile with pharmacodynamic activity. Repeated dose TRX518 monotherapy and in combination resulted in limited clinical responses associated with immune activation.

See related commentary by Hernandez-Guerrero and Moreno, p. 3905
HJM-561, a Potent, Selective, and Orally Bioavailable EGFR PROTAC that Overcomes Osimertinib-Resistant EGFR Triple Mutations
Authors: Du Yong , Chen Yongfeng , Wang Yuxia , Chen Jinju , Lu Xiaorong , Zhang Li , Li Yan , Wang Zhaofu , Ye Guozhong , Zhang George
Published: May 2022

The EGFR C797S mutation is the most common on-target resistance mechanism to osimertinib in patients with advanced non–small cell lung cancer (NSCLC). Currently there are no effective treatment options for patients with NSCLC harboring EGFR C797S triple mutants (Del19/T790M/C797S and L858R/T790M/C797S). Herein, we report an orally bioavailable EGFR PROTAC, HJM-561, which selectively degrades the EGFR C797S-containing triple mutants. HJM-561 potently inhibits the proliferation of Del19/T790M/C797S and L858R/T790M/C797S Ba/F3 cells while sparing cells expressing wild-type EGFR. Oral administration of HJM-561 shows robust antitumor activity in EGFR Del19/T790M/C797S-driven Ba/F3 CDX and PDX models that were resistant to osimertinib treatment. Taken together, our results suggest that HJM-561 is a promising therapeutic option for overcoming EGFR triple mutation-mediated drug resistance in NSCLC.

Watch the interview with George Zhang, PhD, recipient of the 2024 Molecular Cancer Therapeutics Award for Outstanding Journal Article: https://vimeo.com/992990122
Development of Highly Effective Anti-Mesothelin hYP218 Chimeric Antigen Receptor T Cells With Increased Tumor Infiltration and Persistence for Treating Solid Tumors
Authors: Tomar Sakshi , Zhang Jingli , Khanal Manakamana , Hong Jessica , Venugopalan Abhilash , Jiang Qun , Sengupta Manjistha , Miettinen Markku , Li Nan , Pastan Ira , Ho Mitchell , Hassan Raffit
Published: May 2022

Mesothelin targeting CAR T cells have limited activity in patients. In this study, we sought to determine if efficacy of anti-mesothelin CAR T cells is dependent on the mesothelin epitopes that are recognized by them. To do so, we developed hYP218 (against membrane-proximal epitope) and SS1 (against membrane-distal epitope) CAR T cells. Their efficacy was assessed in vitro using mesothelin-positive tumor cell lines and in vivo in NSG mice with mesothelin-expressing ovarian cancer (OVCAR-8), pancreatic cancer (KLM-1), and mesothelioma patient-derived (NCI-Meso63) tumor xenografts. Persistence and tumor infiltration of CAR T cells was determined using flow cytometry. hYP218 CAR T cells killed cancer cells more efficiently than SS1 CAR T cells, with a two- to fourfold lower ET50 value (effector-to-target ratio for 50% killing of tumor cells). In mice with established tumors, single intravenous administration of hYP218 CAR T cells lead to improved tumor response and survival compared with SS1 CAR T cells, with complete regression of OVCAR-8 and NCI-Meso63 tumors. Compared with SS1 CAR T cells, there was increased peripheral blood expansion, persistence, and tumor infiltration of hYP218 CAR T cells in the KLM-1 tumor model. Persistence of hYP218 CAR T cells in treated mice led to antitumor immunity when rechallenged with KLM-1 tumor cells. Our results show that hYP218 CAR T cells, targeting mesothelin epitope close to cell membrane, are very effective against mesothelin-positive tumors and are associated with increased persistence and tumor infiltration. These results support its clinical development to treat patients with mesothelin-expressing cancers.
Gender Equity in Science and Medicine: Breaking the Impasse
Authors: Grandis Jennifer R.
Published: May 2022

Women comprise half of the scientific and medical workforce, yet still hold a minority of leadership positions. Here I discuss the barriers to gender equity and offer a new approach to address the problem.
Tubulointerstitial Nephritis in an Advanced Melanoma Patient Treated with Encorafenib plus Binimetinib Combination Therapy
Authors: Kambayashi Yumi , Ohuchi Kentaro , Chiba Hiromu , Tamabuchi Erika , Nagasawa Tasuku , Asano Yoshihide , Fujimura Taku
Published: May 2022

Encorafenib plus binimetinib combination therapy is one of the first-line therapies for advanced melanoma, and it is known to cause a different profile of adverse events (AEs) than dabrafenib plus trametinib combination therapy. Of such AEs, tubulointerstitial nephritis caused by BRAF plus MEK inhibitors combination therapy is limited. In this report, a case of tubulointerstitial nephritis that developed in a rheumatoid arthritis patient with advanced melanoma treated with encorafenib plus dabrafenib combination therapy is presented.
Staphylococcus aureus Activates the Aryl Hydrocarbon Receptor in Human Keratinocytes
Authors: Stange Eva-Lena , Rademacher Franziska , Drerup Katharina Antonia , Heinemann Nina , Möbus Lena , Gläser Regine , Harder Jürgen
Published: May 2022

Staphylococcus aureus is an important pathogen causing various infections, including – as most frequently isolated bacterium – cutaneous infections. Keratinocytes as the first barrier cells of the skin respond to S. aureus by the release of defense molecules such as cytokines and antimicrobial peptides. Although several pattern recognition receptors expressed in keratinocytes such as Toll-like and NOD-like receptors have been reported to detect the presence of S. aureus, the mechanisms underlying the interplay between S. aureus and keratinocytes are still emerging. Here, we report that S. aureus induced gene expression of CYP1A1 and CYP1B1, responsive genes of the aryl hydrocarbon receptor (AhR). AhR activation by S. aureus was further confirmed by AhR gene reporter assays. AhR activation was mediated by factor(s) <2 kDa secreted by S. aureus. Whole transcriptome analyses and real-time PCR analyses identified IL-24, IL-6, and IL-1beta as cytokines induced in an AhR-dependent manner in S. aureus-treated keratinocytes. AhR inhibition in a 3D organotypic skin equivalent confirmed the crucial role of the AhR in mediating the induction of IL-24, IL-6, and IL-1beta upon stimulation with living S. aureus. Taken together, we further highlight the important role of the AhR in cutaneous innate defense and identified the AhR as a novel receptor mediating the sensing of the important skin pathogen S. aureus in keratinocytes.
Platelet-Rich Plasma in Plastic Surgery: A Systematic Review
Authors: Hasiba-Pappas Sophie K. , Tuca Alexandru Cristian , Luze Hanna , Nischwitz Sebastian P. , Zrim Robert , Geißler Judith C.J. , Lumenta David Benjamin , Kamolz Lars-P. , Winter Raimund
Published: May 2022

Introduction: Platelet-rich plasma (PRP) is gaining popularity and is applied in a variety of clinical settings. This review aims to present and evaluate available evidence regarding the use of PRP in various applications in plastic surgery. Methods: PubMed, Web of Science, Medline, and Embase were searched using predefined MeSH terms to identify studies concerning the application of PRP alone or in combination with fat grafting for plastic surgery. The search was limited to articles in English or German. Animal studies, in vitro studies, case reports, and case series were excluded. Results: Of 50 studies included in this review, eleven studies used PRP for reconstruction or wound treatment, eleven for cosmetic procedures, four for hand surgery, two for burn injuries, five for craniofacial disorders, and 17 as an adjuvant to fat grafting. Individual study characteristics were summarized. Considerable variation in preparation protocols and treatment strategies were observed. Even though several beneficial effects of PRP therapy were described, significance was not always demonstrated, and some studies yielded conflicting results. Efficacy of PRP was not universally proven in every field of application. Conclusion: This study presents an overview of current PRP treatment options and outcomes in plastic surgery. PRP may be beneficial for some indications explored in this review; however, currently available data are insufficient and systematic evaluation is limited due to high heterogeneity in PRP preparation and treatment regimens. Further randomized controlled trials employing standardized protocols are warranted.
There Is a Clinical Need to Consider the Physical Activity: Sedentary Pattern in Children with Obesity – Position Paper of the European Childhood Obesity Group
Authors: Julian Valérie , Ring-Dimitriou Susanne , Wyszyńska Justyna , Mazur Artur , Matlosz Piotr , Frelut Marie Laure , Erhardt Eva , Vlachopapadopoulou Elpis , Forslund Anders , Boyland Emma , Weghuber Daniel , Thivel David
Published: May 2022

Introduction: While international prevention guidelines recently advocated, in addition to moderate and vigorous physical activity (MVPA) guidelines, for a minimization of sedentary (SED) time, recommendations remain to be developed for youths with obesity. Methods: A literature search was conducted in PubMed, the Cochrane Library, plus the reference lists of selected articles for relevant publications in English, including original papers, systematic reviews, and meta-analyses, with search terms “sedentary behaviors” or “sedentary time” or “screen time” AND “children” or “adolescents” AND “obesity” or “adiposity” or “cardiometabolic risk” or “cardiometabolic disease.” The results were summarized as a narrative review and presented to the scientific board of the European Childhood Obesity Group (ECOG), who then discussed their implication in clinical practice and proposed the position outlined in this paper. Results: SED and screen times are associated with adiposity and cardiometabolic risks, independently of youths’ physical activity (PA) level. Besides considering MVPA and SED times as separate variables, comprehensive studies have questioned the impact of different patterns of MVPA and SED levels. Although lower body adiposity and better cardiometabolic health are achieved among those with desirable movement behavior patterns (i.e., more MVPA/less SED or active/not SED), youths with intermediate patterns (i.e., high MVPA/high SED and low MVPA/low SED, or active/SED and inactive/not SED) have been found to be associated with intermediate risks. Conclusion: There is a need to decrease SED behaviors irrespective of MVPA and to consider PA-SED patterns in youth with obesity. The ECOG encourages anti-obesity strategies targeting both PA and SED behaviors to support the shift from long periods of SED time, especially screen time, to daily routines incorporating bouts of PA. Stepwise or sequential approaches to movement behavior counseling might start with targeting SED at first to decrease cardiometabolic risks when implementing MVPA is not yet possible.
Brain Imaging Features Associated with 20-Year Cognitive Decline in a Community-Based Multiethnic Cohort without Dementia
Authors: Orlando Alessandro , Sharrett A. Richey , Schneider Andrea L.C. , Gottesman Rebecca F. , Knopman David S. , Rawlings Andreea , Mosley Thomas H. , Jack Clifford R. , Wong Dean , Pike James R. , Coresh Josef
Published: May 2022

Introduction: This study aimed to characterize the association of cognitive decline starting in midlife with brain pathology in late life in the absence of dementia. Methods: Nondemented Atherosclerosis Risk in Communities participants with brain imaging, all cognitive factor scores (CFSs), and nonmissing covariates were included. CFSs were collected at three visits across 21 years (1990–2013) (short-term cognitive change [1990–1996], long-term cognitive change [1990–2013]), and brain magnetic resonance imaging and florbetapir positron emission tomography (PET) imaging were collected in 2011–13 (PET subset n = 327). Outcomes of interest were total and regional brain volumes (cm3), log2 (white matter hyperintensity volume), white matter integrity (fractional anisotropy, mean diffusivity), ≥1 lacunar infarct (3–20 mm), and elevated brain β-amyloid (SUVR >1.2). Multivariable linear/logistic regression related outcomes to CFS slopes after adjusting for demographics and total intracranial volume. Results: At baseline, the 1,734 participants had a mean (SD) age of 55 (5.2) years, and were 60% female and 26% Black. After adjustment, a 1-SD larger long-term decline in CFS was associated with a smaller relative total brain volume by 1.2% (95% CI: 1.0, 1.5), a smaller relative temporal lobe meta region volume by 1.9% (1.5, 2.3), a 13% (9, 17) larger volume of white matter hyperintensities, a 1.3-fold (1.2, 1.4) higher odds of having ≥1 lacune, and 1.7-fold (1.3, 2.2) higher odds of elevated brain β-amyloid deposition and worse white matter integrity. Some long-term associations were also found for midlife short-term declines in CFS. Conclusions: This study provides evidence that starting in midlife, short-term and long-term declines in cognition are associated with multiple deleterious late-life differences in nondemented brains.
AGO Recommendations for the Diagnosis and Treatment of Patients with Locally Advanced and Metastatic Breast Cancer: Update 2022
Authors: Thill Marc , Lüftner Diana , Kolberg-Liedtke Cornelia , Albert Ute-Susann , Banys-Paluchowski Maggie , Bauerfeind Ingo , Blohmer Jens-Uwe , Budach Wilfried , Dall Peter , Fallenberg Eva Maria , Fasching Peter A. , Fehm Tanja , Friedrich Michael , Gerber Bernd , Gluz Oleg , Harbeck Nadia , Heil Jörg , Huober Jens , Jackisch Christian , Kreipe Hans-Heinrich , Krug David , Kühn Thorsten , Kümmel Sherko , Loibl Sibylle , Lux Michael , Maass Nicolai , Mundhenke Christoph , Nitz Ulrike , Park-Simon Tjoung-Won , Reimer Toralf , Rhiem Kerstin , Rody Achim , Schmidt Marcus , Schneeweiss Andreas , Schütz Florian , Sinn Hans-Peter , Solbach Christine , Solomayer Erich-Franz , Stickeler Elmar , Thomssen Christoph , Untch Michael , Witzel Isabell , Wöckel Achim , Müller Volkmar , Janni Wolfgang , Ditsch Nina
Published: May 2022

The Breast Committee of the Arbeitsgemeinschaft Gynäkologische Onkologie (German Gynecological Oncology Group, AGO) presents the 2022 update of the evidence-based recommendations for the diagnosis and treatment of patients with locally advanced and metastatic breast cancer.
Matic motorcycle transmission damage detection system using internet of things-based expert system
Authors: Suhadi Suhadi , Nur Muhamad , Sulistyowati Sulistyowati , Suroso Amat
Published: May 2022

The development of the motorcycle industry in Indonesia has developed quite significantly from year to year, the BPS (Central Statistics Agency) noted that in 2019 the number of motorcycle sales reached 106.657.952 units, and the AISI (Indonesian Motorcycle Industry Association) in 2020 the type of scooter (matic) of 2,696,557 units or 87.9%, this automatic type of motorbike is the largest contributor to two-wheeled vehicles and is the favorite type of vehicle for Indonesians. Automatic transmission or what is known as CVT (Continuous Variable Transmission), which is an automatic speed transfer system according to engine speed using a V-belt. In previous research, the use of IoT (Internet of Things) is used as an automatic air quality monitoring control system, air quality conditions can be seen quickly and accurately from the monitor. The goal of this study is to use a vibration sensor and the CBR (Case Based Reasoning) method to solve damage to matic motor components. The results of this study are (a) the case average value is 0,76, (b) the CVT component parameter is 80% the average value is 0,94, (c) the CVT component weight parameter is from 60% the average value is 1,26.
Intrusion detection based on fuzzy logic for wireless body area networks: review and proposition
Authors: Bengag Asmae , Bengag Amina , Moussaoui Omar
Published: May 2022

Wireless body area networks (WBANs) are very helpful for monitoring the patient’s case, due to the medical sensors. However, this technology faces several problems such as loss communication, security issues and energy consumption. Our work focused on the security and specifically the intrusion detection system (IDS), which is one of the most effective techniques used to identify the presence of intrusions in a network. To make the IDS more efficient, the fuzzy logic (FL) is one of the well-known techniques that is known for its powerful mechanism used to differentiate network traffic levels. In this paper, we start to present an overview of IDS and FL functionality. Moreover, we give a survey of recent works dealing IDS based on FL in wireless sensor and classify them on different measures. Hence, our comparative study is very helpful for the researchers, to understand the use of FL in IDS and have clear vision for developing their own security solution. In the second part, we develop a novel IDS based on Mamdani type fuzzy inference system for detecting jamming attacks in WBAN. Our IDS was built in Matlab, also we are used Castalia platform and OMNET++ simulator to simulate different scenarios of WBAN.
Security approach for instant messaging applications: viber as a case study
Authors: Falih Kadhim Mohammed , Al-Janabi Adel , Hazim Alhilali Ahmed , Salih Ali Nabeel
Published: May 2022

A variety of internet-based applications are widely used in our animation activities because they provide free and useful services. These applications, such as Instant Messaging, can be run via the web, mobile, or computer-based devices. Therefore, the security and privacy of user data over these apps have been concerned in recent years because of sensitive and confidential information considerations. Consequently, many instant messaging applications, like Viber, have various security and privacy issues that need to be understood and resolved. Viber users reached 800 million, and they increased dramatically due to the efficient services that this app provides. Hence, a loophole in an application’s design may allow illegal access to the app and gain confidential and sensitive data. In this article, we proposed a security approach for Viber to safeguard user confidential data and sensitive information. The proposed approach involves two theoretical solutions: Short message service (SMS) authentication code and the physical hardware number to prevent illegal access to user data. Several scenarios are adopted to assess the proposed approach and achieve security and privacy for the user information.
Performance analysis of intrusion detection for deep learning model based on CSE‑CIC‑IDS2018 dataset
Authors: Farhan Baraa Ismael , Jasim Ammar D.
Published: May 2022

The evolution of the internet of things as a promising and modern technology has facilitated daily life. Its emergence was accompanied by challenges represented by its frequent exposure to attacks and its being a target for intruders who exploit the gaps in this technology in terms of the nature of its heterogeneous data and its large quantity. This made the study of cyber security an urgent necessity to monitor infrastructures It has network flaw detection and intrusion detection that helps protect the network by detecting attacks early and preventing them. As a result of advances in machine learning techniques, especially deep learning and its ability to self-learning and feature extraction with high accuracy, the research exploits deep learning to analyze the real data set of CSE-CIC-IDS2018 network traffic, which includes normal behavior and attacks, and evaluate our deep model long short-term memory (LSTM), That achieves accuracy of detection up to 99%.
Improving the quality of service in wireless sensor networks using an enhanced routing genetic protocol for four objectives
Authors: Moshref Mahmoud , Al-Sayyed Rizik , Al-Sharaeh Saleh
Published: May 2022

Multi-objective algorithms are used to achieve high performance for quality of service (QoS) in wireless sensor networks (WSNs) is an important field for researchers because these algorithms improve two or more conflicting objectives and present the best trade-off between the conflicting objectives to solve multi-objective problems (MOPs). Previous research proposed an algorithm that relies on non-dominated sorting genetic algorithm 3 (NSGA-III), namely enhanced non-dominated sorting genetic routing algorithm (ENSGRA). This algorithm is used to optimise three objectives, which include number of worked sensors, energy consuming and node covering area. The fourth objective, which is node load balancing, is added in the current research. Such an addition aims to improve node distribution around cluster heads and decrease network congestion, thus decreasing energy consumption and increasing network lifetime. The ENSGRA algorithm is compared with multi-objective multi-step particle swarm optimisation (MOMSPSO), non-dominated sorting genetic algorithm 2 (NSGA-II), and NSGA-III. The proposed algorithm ENSGRA exceed to MOMSPSO, NSGA-II, and NSGA-III in the proposed QoS model in the final outcomes, as the proposed approach achieved (38%) average combination (optimisation) percentage. Which is the highest percentage over other methods.
The main pillars of Agile consolidation in newly Agile teams in Agile software development
Authors: Gahroee Tayebe Mohamadi , Javdani Gandomani Taghi , Aghaei Mohammadreza Soltan
Published: May 2022

Many software companies and teams use Agile methods as their main development approach. These methods promise higher team productivity, faster product delivery, a more flexible development process, and greater customer satisfaction. Nevertheless, a review of the literature shows that adapting to these methods, known as Agile transition, is not as easy as expected. However, several frameworks and models have been proposed to facilitate the Agile transition process. The challenging issue after the transition to agility is the behavior of companies and teams after the Agile transition and how to maintain agility in the long run. Very little research has been done on this issue, which has largely expressed concern. The present study tries to explore the hidden aspects of the transition to agility and provide a solution for Agile consolidation in newly Agile software teams. In this regard, using the grounded theory approach, the basic theory of Agile consolidation in these teams has been presented. Preliminary findings of the study indicate important factors that play an important role in Agile consolidation. Identification of challenges, facilitators, organizational culture structure, and human roles in Agile consolidation is the most important initial findings of this study.
Artificial intelligent controller-based energy management system for grid integration of PV and energy storage devices
Authors: Ananthu Durga Prasad , K. Neelshetty , Venkateshkumar M.
Published: May 2022

In the modern world, photovoltaic (PV) energy generation is becoming more prevalent and cost-effective. To address climate change, many countries have prioritised photovoltaics and made significant investments in energy generation. Because of its non-linear nature, solar energy generation is extremely difficult. This is completely dependent on the solar radiation and the outside temperature. The maximum power generation of a PV system in non-linear weather circumstances and the grid integration of PV with power management are discussed in this article. Artificial intelligence (AI) is vital for improving the energy output of PV systems across a wide range of environmental conditions because traditional controllers do not aid a solar system in producing the maximum energy. The grid integration of PV and EMS (energy management systems) was covered in the later part of this article. In this paper, artificial intelligence is used to provide customers with continuous power through a battery system, which plays a critical role in energy management. Furthermore, the suggested model was simulated in Matlab and its performance was evaluated under various operational scenarios. To demonstrate the effectiveness of the proposed system, the results are compared to IEEE 519.
A new topology of multilevel inverter with switches count reducing at symmetrical/asymmetrical mode
Authors: Albakhait Mohammed D. , Abdulkareem Arwa Amer
Published: May 2022

The multi-level inverter (MLI) has an important role in modern technologies due to its advantages. On the other hand, its circuits need a large number of switches, capacitors and direct current (DC) sources. This paper introduces a new topology for a MLI with a reduction in number of switches, no need for capacitors in exchange for an increase in number of levels in the output. The proposed model is operated in symmetric and asymmetric modes with the presence of resistive and inductive loads. Whereas, (5 and 9) output levels were obtained in symmetric and asymmetric modes, respectively. In contrast, the number of switches was halved and without need for capacitors, compared to the conventional MLI topologies not a secret that reducing the number of switches has the effect of reducing cost and complexity, in addition to the problems of balancing the voltage on capacitors. The programming environment used to build the proposed model of the MLI was MATLAB/Simulink, where the validity of the hypotheses contained in this paper were proved and the obtained results are identical to what was planned under different loads and different operation modes. In addition, the paper included a comparison study among the proposed topology and conventional topologies in terms of the number of switches, capacitors and sources.
A simple architecture for high performance class-D audio amplifier with novel RC network as negative feedback loop
Authors: Bellili Nour El Imane , Bekhouche Khaled
Published: May 2022

In this work, we have designed and simulated a proposed architecture and good performances single-ended class-D audio amplifier (CDA). The proposed circuit is build using pulse-width modulation (PWM). We have proposed a novel RC network as negative feedback loop attached to a second-order integrator to get free of high-frequency carrier ripples and to reach improved output accuracy, thus improved performance and efficiency. This proposed negative feedback loop extremely reduces total harmonic distortion plus noise (THD+N). We have used a passive second-order butterworth output filter. This circuit fulfills a power supply rejection ratio (PSRR) of 75 dB, a THD+N of 0.004%, 3 times less than attained by usual feedback loop. The proposed circuit with quiescent current of 0.02 mA, signal to noise ratio (SNR) of 89 dB, and peak efficiency of 90% is running at 400 kHz switching frequency. The results of simulation demonstrate that this circuit significantly keeps up with the performance of other circuits but taking advantage of its simple architecture.
Performance comparison of some weak signal detection techniques
Authors: Mohammed Sarah Sabah , Al-Azawi Maher K. Mahmood
Published: May 2022

Performance comparison of some weak signal detection techniques is introduced. This comparison is very necessary since different applications require different operating conditions such as signal to noise ratio SNR, bandwidth, coherency, processing time and complexity. Three methods for detecting weak signals are considered. These are based on chaos theory, wavelet transform, and stocastic resonance. A detection algorithm based on a rectangular region in phase space plane is suggested in chaos method. The stocastic resonance method is considered in this research, as it is used for signal detection in underwater at a certain frequency. Simulation results obtained from MATLAB programs verify the studied methods giving an estimation of probability of detection and probability of false alarm versus SNR.
Face recognition based on Siamese convolutional neural network using Kivy framework
Authors: Aufar Yazid , Sitanggang Imas Sukaesih
Published: May 2022

Human face recognition is a vital biometric sign that has remained owing to its many levels of applications in society. This study is complex for free faces globally because human faces may vary significantly due to lighting, emotion, and facial stance. This study developed a mobile application for face recognition and implemented one of the convolutional neural network (CNN) architectures, namely the Siamese CNN for face recognition. Siamese CNN can learn the similarity between two object representations. Siamese CNN is one of the most common techniques for one-shot learning tasks. Our participation in this study determined the efficiency of the Siamese CNN architecture with the enormous quantity of face data employed. The findings demonstrated that the suggested strategy is both practical and accurate. The method with augmentation produces the best results with a total data set of 9000 face images, a buffer size of 10000, and epochs of 5, producing the minimum loss of 0.002, recall of 0.996, the precision of 0.999, and F1-score of 0.672. The proposed method gets the best accuracy of 98% with test data. The Siamese CNN model is successfully implemented in Python, and a user interface and executables are built using the Kivy framework.
Real-time passenger social distance monitoring with video analytics using deep learning in railway station
Authors: Ahmad Dahlan Iqbal , Gutomo Putra Muhammad Bryan , Harso Supangkat Suhono , Hidayat Fadhil , Fitriyanti Lubis Fetty , Hamami Faqih
Published: May 2022

Recently, at the end of December, the world faced a severe problem which is a pandemic that is caused by coronavirus disease. It also must be considered by the railway station's authorities that it must have the capability of reducing the covid transmission risk in the pandemic condition. Like a railway station, public transport plays a vital role in managing the COVID-19 spread because it is a center of public mass transportation that can be associated with the acquisition of infectious diseases. This paper implements social distance monitoring with a YOLOv4 object detection model for crowd monitoring using standard CCTV cameras to track visitors using the DeepSORT algorithm. This paper used CCTV surveillance with the actual implementation in Bandung Railway Station with the accuracy at 96.5 % result on people tracking with tested in real-time processing by using minicomputer Intel(R) Xeon(R) CPU E3-1231 v3 3.40GHz RAM 6 GB around at 18 FPS.
Orthogonal frequency division multiplexing system with an indexed-pilot channel estimation
Authors: Alqatawneh Ali
Published: May 2022

In this paper, we examine an orthogonal frequency division multiplexing (OFDM) system under imperfect channel conditions and pilot-insertion- based channel estimation. However, unlike conventional pilot-insertion-based channel estimation, some inserted pilot symbols are set to zero where the index of the zero-pilot symbols is employed to transmit extra data bits. In this paper, we employ a minimum mean squared error (MMSE) to detect transmitted pilot symbols; these symbols are then used to estimate channel coefficients. Furthermore, the impact of zero-pilot symbols on the mean-squared error of channel estimation and on system error performance is examined. Our findings show that the index of zero-pilot symbols can be used to improve system throughput by carrying extra information bits without harming channel estimation accuracy or degrading system error performance. Simulation results show that, at a high signal-to-noise ratio, the bit error rate for data bits transmitted via zero-pilot symbols index selection is lower than that of data bits transmitted over data subcarriers.
Investigations on spectral efficiency of muticellnetworks using hybrid beamforming
Authors: Deepa S. , Jebanazer J. Jeneetha , Rajakumar S. , Mercy Sheeba J. , Rryan J.
Published: May 2022

Millimeter wave communication systems with antenna beamforming facilitates practical solutions to the capacity crunch issues in the upcoming 5G wireless networks. Multi-cell dense networks are prone to three major interferences-inter-cell, intra-cell and Inter layer interference-the most dominating being the inter-cell interference. This paper focuses to alleviate inter-cell interference using hybrid beamforming (HBF) approach, leveraging coordinated multipoint (CoMP) technique, thereby improving the SE of 5G networks. Simulation results show HBFpeforms in par with optimal weights, making it a suitable candidate for 5G networks. As the number of data streams is increased from Ns=1 to 4 for 0 dB signal to noise ratio (SNR) with Nt=64 and Nr=16, the SE increases from 9.5557 bits/s/Hz to 26.423 bits/s/Hz for optimal weights and from 9.1885 bits/s/Hz to 19.763 bits/s/Hz and hybrid weights, respectively. The second set of experiments are conducted to study the effect of number of transmit antennas on spectral efficiency (SE). The results show that as the number of transmit antennas is increased from Nt=16 to 64 for 0 dB SNR, with Nr=16 and Ns=4, the SE increases from 17.735 bits/s/Hz to 26.423 bits/s/Hz and 13.750 bits/s/Hz to 19.763 bits/s/Hz for optimal weights and hybrid weights, respectively.
A single port frequency reconfigurable antenna for underlay/interweave cognitive radio
Authors: Abdullah Laith Wajeeh , Saloomi Adheed H. , Jassim Ali Khalid
Published: May 2022

A frequency reconfigurable antenna is presented in this paper as a novel single port system gathering the functionalities of both underlay and interweave cognitive radio. This 25×30×0.8 mm3 system involves a wide slot antenna to cover the ultra wide band (UWB) range with resonating stubs that are used to prohibit/work-only-in specific bands within the UWB frequencies. Here, six positive intrinsic negative (PIN) diodes are used to decide the active sections of the antenna that leads to select its operation as UWB/filtering/multiband antenna. Diodes' configuration results in eight useful operation modes that include a scanning mode, four single band-notch modes and three dual band communication modes. The scanning mode covers the entire UWB range while one of the bands allocated for WiMax, Cband, WLAN or Xband is to be excluded in each of the band-notch modes. On the other hand, each communaication mode is able to work in one of the ranges that cover WiMax/Cband, Cband/WLAN or Xband/international telecommunication union (ITU). S11, realized gain, voltage standing wave ratio (VSWR) outcomes of this design that is simulated by computer simulation technology (CST) v.10 all confirms the proposed system's ability to work in the intended modes. Its novelity to work as interweave/underlay cognitive radio system, highly candidates this design to address many of the UWB communication issues related interference and multiband operation