bluuebunny/crossref_metadata_2025 huggingface dataset:
Suppression to Angular Oscillation among Synchronous Generators by Optimizing Parameters and Set-Points of Synchronous Condenser and High-Voltage DC
Authors: Li Shenghu , Tao Diwen , Li Lulu , Qi Nan , Gong Junwei
Published: December 2022

After losing one or two poles of the high-voltage DC (HVDC) line, power systems may experience angular oscillations among the synchronous generators (SGs), possibly followed by tripping of the SGs and blackouts of the loads. To suppress the oscillations, the difficulty lies in the optimization methods and the countermeasures. For the former, parameter optimization based on the eigen-analysis for a given scenario is not suitable for angular oscillation after a large disturbance lasting for several seconds or longer. For the latter, adjusting the active power of the SGs is effective but responds slowly. Adjusting the excitation system of the synchronous condensers (SCs) is seldom studied since the relation of the power angle with the reactive power is not clearly described. Adjusting the control parameters of the remaining HVDC has limited effect and is not enough. The set-points for the controller of the HVDC are adjusted to suppress the oscillation but are to be restored after the oscillation, which is different from optimization of the control parameters. In this paper, coordinated optimization of the control parameters and the set-points of the SC and the HVDC is proposed to suppress the angular oscillations among the SGs. At first, the relation of the reactive power of the SC with the power angles is validated to provide the basis for optimizing the control parameters and the set-points of the SC. Since the analytical expression between the power angle and the control parameters or the set-points related to the reactive power is not explicit and the optimization periods of different parameters are different, an improved analytical model of the trajectory sensitivity (TS) is proposed. Based on the indication indices, the control parameters and the set-points of the constant current controller and the excitation system to be optimized are decided. The gradients of the objective function are extended to derive a coordinated multiparameter optimization model to suppress the angular oscillation among the SGs. The numerical results validate the accuracy of the improved TS by comparing it with the perturbation method. The time-domain analysis in different scenarios shows that the angular oscillations in the AC/HVDC system are effectively suppressed with the proposed optimization model.
Nonuniform Clearance Effects on Pressure Distribution and Leakage Flow in the Straight-through Labyrinth Seals
Authors: Shi Yu , Ding Shuiting , Qiu Tian , Liu Peng , Liu Chuankai
Published: December 2022

Straight-through labyrinth seal is a simple and reliable noncontact seal structure widely used in aeroengines. During the actual operation of aeroengines, the labyrinth seal clearance might experience a nonuniform variation in the flow direction due to asymmetric structure and uneven temperature. In order to characterize the degree of nonuniformity, the nonuniformity coefficient is defined in current paper. The effect of nonuniform causes (rotor deformation or stator deformation), nonuniform type (convergent clearance or divergent clearance), and nonuniformity coefficient (nonuniformity degree) is carefully studied by numerical simulation. Comparative analysis has shown that there is no obvious difference in flow coefficient (less than 0.8% in current studies) between two nonuniform causes. As for nonuniform type, the nonuniformity impact of divergent type on the flow coefficient is more significant than that of convergent type, as a result of stronger axial inertia. Pressure distributions of teeth cavities indicate that the total pressure drop of the divergent type is more obvious than that of the convergent type when the pressure ratio is the same. With the same dimensionless minimum tip clearance, clearance nonuniformity would result in the increase of leakage flow of the straight-through labyrinth, particularly for the condition with small pressure ratio, large circumferential Mach number, and small dimensionless minimum tip clearance. When the nonuniformity coefficient is within the range of -0.1 to 0.1, the variation curves of nonuniformity impact factor versus the nonuniformity coefficient almost coincide (the maximum deviation is no more than 1.2%) under different operation conditions (Reynolds number, pressure ratio, circumferential Mach number, and dimensionless minimum tip clearance). Current work proves it that the effect of seal clearance nonuniformity on the leakage flow requires special attention for the refined design of aeroengines.
Systematic Interrogation of Tumor Cell Resistance to Chimeric Antigen Receptor T-cell Therapy in Pancreatic Cancer
Authors: Hagel Kimberly R. , Arafeh Rand , Gang Sydney , Arnoff Taylor E. , Larson Rebecca C. , Doench John G. , Mathewson Nathan D. , Wucherpfennig Kai W. , Maus Marcela V. , Hahn William C.
Published: December 2022

Chimeric antigen receptor (CAR) T-cell therapy can lead to dramatic clinical responses in B-cell malignancies. However, early clinical trials with CAR T-cell therapy in non–B-cell malignancies have been disappointing to date, suggesting that tumor-intrinsic features contribute to resistance. To investigate tumor-intrinsic modes of resistance, we performed genome scale CRISPR-Cas9 screens in mesothelin (MSLN)-expressing pancreatic cancer cells. Co-culture with MSLN-targeting CAR T cells identified both antigen-dependent and antigen-independent modes of resistance. In particular, loss of the majority of the genes involved in the pathway responsible for GPI-anchor biosynthesis and attachment abrogated the ability of CAR T cells to target pancreatic cancer cells, suggesting that disruption of this pathway may permit MSLN CAR T-cell evasion in the clinic. Antigen-independent mediators of CAR T-cell response included members of the death receptor pathway as well as genes that regulate tumor transcriptional responses, including TFAP4 and INTS12. TFAP4-mediated CAR T resistance depended on the NFκB transcription factor p65, indicating that tumor resistance to CAR T-cell therapy likely involves alterations in tumor-intrinsic states. Overall, this study uncovers multiple antigen-dependent and -independent mechanisms of CAR T-cell evasion by pancreatic cancer, paving the way for overcoming resistance in this disease that is notoriously refractory to immunotherapy.

Significance:

The identification and validation of key determinants of CAR T-cell response in pancreatic cancer provide insights into the landscape of tumor cell intrinsic resistance mechanisms and into approaches to improve therapeutic efficacy.
Project Confirm: Accelerated Drug Approvals for Chronic Myeloid Leukemia
Authors: Sweet Kendra L. , Cortes Jorge E. , Apperley Jane F. , Mann Mel , Mauro Michael J. , Oehler Vivian G. , Ruiz Cristina , Schiffer Charles A. , Ehrlich Lori A. , Pamuk Gulsum E. , Wynne Joseph , Mehta Gautam U. , de Claro R. Angelo , Theoret Marc R. , Smith B. Douglas , Norsworthy Kelly J.
Published: December 2022

The FDA has an accelerated approval program for drugs that have been identified as promising treatments for serious conditions when the available data suggest that the benefits outweigh the foreseeable risks. All of the currently available treatment options for chronic myeloid leukemia (CML) initially went through the accelerated approval program. Here, a group of academic CML experts, patient panelists, and members from the FDA convened to discuss the utility of the accelerated approval program as it pertains to CML, and the utility of this program in future drug development in this disease. The results of that discussion are summarized here.
A Single-Arm Phase II Trial of Sitravatinib in Advanced Well-Differentiated/Dedifferentiated Liposarcoma
Authors: Ingham Matthew , Lee Shing , Van Tine Brian A. , Choy Edwin , Oza Jay , Doshi Sahil , Ge Liner , Oppelt Peter , Cote Gregory , Corgiat Brian , Sender Naomi , Sta Ana Sarah , Panchalingam Lavan , Petricoin Emmanuel , Schwartz Gary K.
Published: December 2022

Purpose:

To evaluate sitravatinib, an inhibitor of multiple receptor tyrosine kinases (RTK), for the treatment of well-differentiated/dedifferentiated liposarcoma (WD/DD LPS).

Patients and Methods:

This multicenter, open-label, Phase II trial enrolled patients with advanced WD/DD LPS who had received at least one prior systemic regimen and had progression within 12 weeks of enrollment. Patients received sitravatinib 150 mg (later amended to 120 mg) orally daily. A Simon two-stage design was used to evaluate for an improvement in the primary endpoint, progression-free rate at 12 weeks (PFR12), from 20% to 40%. Secondary endpoints included antitumor activity and safety. A subset of patients underwent paired biopsies analyzed using reverse-phase protein array.

Results:

Twenty-nine patients enrolled. Median age was 62 years and 31% had received 3 or more prior lines. Most patients (93%) had DDLPS or mixed WD/DD LPS. Overall, 12 of 29 patients (41%) were alive and progression-free at 12 weeks and the study met the primary endpoint. There were no confirmed responses. Median progression-free survival was 11.7 weeks [95% confidence interval (CI): 5.9–35.9] and median overall survival was 31.7 weeks (95% CI: 18.1–90.1). The most common treatment-related adverse events were diarrhea (59%), hypertension (52%), hoarseness (41%), mucositis (31%), and nausea (31%). Baseline expression of phospho-RTKs was not significantly different between patients with and without clinical benefit from sitravatinib, but the number of samples was small.

Conclusions:

Sitravatinib provided a PFR12 of 41% and meaningful disease control in a subset of patients with advanced, progressive WD/DD LPS.
Syntaphilin Regulates Neutrophil Migration in Cancer
Authors: Fu Shuyu , Deng Hui , Bertolini Irene , Perego Michela , Chen Eric S. , Sanseviero Emilio , Mostafa Ali , Alicea-Torres Kevin , Garcia-Gerique Laura , Stone Erica L. , Kossenkov Andrew V. , Schug Zachary T. , Nam Brian , Mulligan Charles , Altieri Dario C. , Nefedova Yulia , Gabrilovich Dmitry I.
Published: December 2022

Pathologically activated neutrophils (PMN) with immunosuppressive activity, which are termed myeloid-derived suppressor cells (PMN-MDSC), play a critical role in regulating tumor progression. These cells have been implicated in promoting tumor metastases by contributing to premetastatic niche formation. This effect was facilitated by enhanced spontaneous migration of PMN from bone marrow to the premetastatic niches during the early-stage of cancer development. The molecular mechanisms underpinning this phenomenon remained unclear. In this study, we found that syntaphilin (SNPH), a cytoskeletal protein previously known for anchoring mitochondria to the microtubule in neurons and tumor cells, could regulate migration of PMN. Expression of SNPH was decreased in PMN from tumor-bearing mice and patients with cancer as compared with PMN from tumor-free mice and healthy donors, respectively. In Snph-knockout (SNPH-KO) mice, spontaneous migration of PMN was increased and the mice showed increased metastasis. Mechanistically, in SNPH-KO mice, the speed and distance travelled by mitochondria in PMN was increased, rates of oxidative phosphorylation and glycolysis were elevated, and generation of adenosine was increased. Thus, our study reveals a molecular mechanism regulating increased migratory activity of PMN during cancer progression and suggests a novel therapeutic targeting opportunity.
Antigen-Loaded Extracellular Vesicles Induce Responsiveness to Anti–PD-1 and Anti–PD-L1 Treatment in a Checkpoint Refractory Melanoma Model
Authors: Veerman Rosanne E. , Akpinar Gözde Güclüler , Offens Annemarijn , Steiner Loïc , Larssen Pia , Lundqvist Andreas , Karlsson Mikael C.I. , Gabrielsson Susanne
Published: December 2022

Extracellular vesicles (EV) are important mediators of intercellular communication and are potential candidates for cancer immunotherapy. Immune checkpoint blockade, specifically targeting the programmed cell death protein 1 (PD-1)/programmed death-ligand 1 (PD-L1) axis, mitigates T-cell exhaustion, but is only effective in a subset of patients with cancer. Reasons for therapy resistance include low primary T-cell activation to cancer antigens, poor antigen presentation, and reduced T-cell infiltration into the tumor. Therefore, combination strategies have been extensively explored. Here, we investigated whether EV therapy could induce susceptibility to anti–PD-1 or anti–PD-L1 therapy in a checkpoint-refractory B16 melanoma model. Injection of dendritic cell–derived EVs, but not checkpoint blockade, induced a potent antigen-specific T-cell response and reduced tumor growth in tumor-bearing mice. Combination therapy of EVs and anti–PD-1 or anti–PD-L1 potentiated immune responses to ovalbumin- and α-galactosylceramide–loaded EVs in the therapeutic model. Moreover, combination therapy resulted in increased survival in a prophylactic tumor model. This demonstrates that EVs can induce potent antitumor immune responses in checkpoint refractory cancer and induce anti–PD-1 or anti–PD-L1 responses in a previously nonresponsive tumor model.
Platelet-Rich Fibrin in Oral Surgery and Implantology: A Narrative Review
Authors: Zwittnig Katharina , Mukaddam Khaled , Vegh Daniel , Herber Valentin , Jakse Norbert , Schlenke Peter , Zrnc Tomislav Ante , Payer Michael
Published: December 2022

Background: The application of blood concentrates has gained popularity in dentistry in recent years. Platelet-rich fibrin (PRF) has been discussed frequently due to a high content of growth factors and the option of chair-side manufacturing in a simple centrifugation process. PRF is free from adjuvants and inexpensive to produce. The number of studies reporting beneficial effects of PRF in various clinical applications such as alveolar ridge preservation, sinus floor elevation, management and prevention of medical-related osteonecrosis of the jaw, third molar extractions, and guided bone regeneration in dentistry has increased recently. However, to date, neither clinical recommendations nor guidelines are available. The present narrative review aims to summarize the level of evidence on the clinical application of PRF within the field of oral surgery and implantology. Summary: A literature search in Pubmed and Medline has identified 34 articles as a basis for this narrative review. The effectiveness of the clinical application of PRF has been analyzed for five indications within dentistry: medical-related osteonecrosis of the jaw, wisdom tooth extraction, guided bone regeneration, sinus floor elevation, and alveolar ridge preservation. The amount of data for third molar extractions, socket preservation, and guided bone regeneration is extensive. Less data were available for the use of PRF in combination with sinus floor elevations. There is a lack of studies with scientific evidence on PRF and medical-related osteonecrosis of the jaw; however, studies positively impact patient-related outcome measures. Most studies report on beneficial effects when PRF is additionally applied in intrabony defects. There is no evidence of the positive effects of PRF combined with bone graft materials during sinus floor elevation. However, some benefits are reported with PRF as a sole filling material. Key Messages: Many recently published studies show the positive clinical impact of PRF. Yet, further research is needed to ensure the validity of the evidence.
Can Informal Caregiving be Perceived as Rejuvenating? Changes in Perceptions of Ageing at Onset and End of Informal Caregiving during Different Stages of Life
Authors: Zwar Larissa , König Hans-Helmut , Hajek André
Published: December 2022

Introduction: Perceptions of ageing are a central predictor of health, wellbeing, and longevity. This study analyses the association between the onset and end of informal caregiving and perceptions of ageing in different stages of life. Methods: Data from the German Aging Survey (2014, 2017) were used; a longitudinal dataset that is representative of community-dwelling individuals aged ≥40 years in Germany. Adjusted asymmetric fixed effects regression analyses were conducted to analyse the associations in three age groups (40 to <60, 60 to <80, and ≥80). Perceptions of ageing were measured in terms of attitude towards one’s own ageing (Philadelphia Geriatric Centre Morale Scale), subjective age (felt age), and onset of old age (when someone is considered to be old). Results: Significant changes in the perceptions of ageing were found only among individuals aged ≥80 years. In this group, the onset of informal caregiving was significantly associated with improved attitude towards one’s own ageing and the end of informal caregiving was significantly associated with increased subjective age and earlier onset of old age. Conclusion: The perceptions of ageing improved with the onset and worsened with end of caregiving – but only among oldest old individuals. Thus, informal caregiving seems to be a significant predictor for perceptions of ageing in old age.
A Scientometric Visualization Analysis for Benign Prostatic Hyperplasia from 2016 to 2022
Authors: Zhang Fulin , Xu Jinbin , Sun Ciming , Dai Fuyang , Zhu Qin , Liang Hui
Published: December 2022

Background: Benign prostatic hyperplasia (BPH) is a common urological disorder leading to dysuria in middle-aged and elderly men and significantly reduces the quality of life of patients. Technology for BPH has made a great progress, while there is still a lack of visual and summary literature to make the summary. Summary: The aims of the study were to identify the cooperation of authors, countries, institutions, and explore hot topics’ prospects regarding research of BPH. Relevant original articles were obtained from the Web of Science (WoS) database between 2016 and 2022. CiteSpace software was used to perform the analysis and visualization of scientific productivity and emerging trends. Key Messages: A total of 4,738 articles related to study of BPH were identified. We observed a gradual increase in the number of publications from 2016 to 2022. The USA dominated the field in all countries. Shanghai Jiao Tong University was the most productive institution in 6 years. Active cooperation between countries and between institutions was not observed. Journal of Urology was the most co-cited journal. Roehrborn CG (41 papers) was the most productive author and had the largest numbers of citations (820 co-citations) during the past 6 years. Close collaboration was not observed between the different authors. The main hot topics included matters related to BPH, urinary tract symptom, prostatic urethral lift, thermal therapy, and prostatic neoplasms. This scientometric study comprehensively reviewed publications related to BPH during the past 6 years using quantitative and qualitative methods, which can be used to forecast future research developments in BPH.
Cytoarchitecture of Mudskipper (Boleophthalmus pectinirostris) Brain
Authors: Jiang Ke , Wei Ke , Chen Shi Xi , Huang Jing
Published: December 2022

Mudskippers are intertidal burrowing fish with unique living habits. So far, studies on the cytoarchitecture of the brain in fish with such behaviors remain limited. Therefore, documenting the neuroanatomy of this animal is of interest because of its unique characteristics. In this study, we examined the cytoarchitecture of mudskipper (Boleophthalmus pectinirostris) brain and investigated whether it has any peculiarities in its brain structures. In general, the basic composition, morphology, and organization of mudskipper brain do not vary markedly from those of other teleosts. The main differences appear in the telencephalon and diencephalon. In addition to Nissl staining, immunostainings for catecholaminergic and cholinergic systems were performed to help identify certain nuclei. The results showed that the number of subdivisions of the central division of pallium, lateral division of pallium, and medial division of pallium were different with other teleost species. In addition, some diencephalic nuclei, including the nucleus subglomerulosus, lateral thalamic nucleus, and intermediate superficial pretectal nucleus, were absent, which suggests the corresponding functions, such as visual or gustatory function, are less developed or specialized in B. pectinirostris. These results will provide a fundamental neuroanatomical basis for future studies on neuroendocrine regulation of behavior in intertidal burrowing fish.
Implementation and performance evaluation of multi level pseudo random sequence generator
Authors: Ali Hadeer Hussein , Ziboon Hadi T. , Hameed Ashwaq Q.
Published: December 2022

In this paper, introduce a proposed multi-level pseudo-random sequence generator (MLPN). Characterized by its flexibility in changing generated pseudo noise (PN) sequence according to a key between transmitter and receiver. Also, introduce derive of the mathematical model for the MLPN generator. This method is called multi-level because it uses more than PN sequence arranged as levels to generation the pseudo-random sequence. This work introduces a graphical method describe the data processing through MLPN generation. This MLPN sequence can be changed according to changing the key between transmitter and receiver. The MLPN provides different pseudo-random sequence lengths. This work provides the ability to implement MLPN practically in more than one method such as microcontroller or field programmable gate array (FPGA). In this paper discusses MLPN performance using MATLAB as compared with golden PN sequence generator with different modulation schemes such as binary phase-shift keying (BPSK), quadrature phase-shift keying (QPSK), and quadrature amplitude modulation 16QAM. The simulation results show that MLPN performs almost likely golden PN sequence but sure with advantage its flexibility to change generated MLPN between transmitter and receiver. The MLPN sequence is applicable in the same field of PN sequence applications such as code division multiple access (CDMA), spread spectrum system (SSS), and data scrambling.
Smart evaluation for deep learning model: churn prediction as a product case study
Authors: Elgohary Esam Mohamed , Galal Mohamed , Mosa Ahmed , Elshabrawy Ghada Atef
Published: December 2022

Customer churn prediction recently is one of the vital issues that confronts diverse business industries to sustain the customers base and profits. On the other hand, data scientists employ gigantic customer data to automate the data modelling process to offer these models as a generally portable service. This research has two main contributions: deep learning customer churn prediction model and smart evaluation prediction model service. So, this service harnesses any customer data to automate building, evaluation, and deployment of the churn prediction model. The research consists of three main parts. Firstly, it illustrates the dataset labelling which annotates customers data into churn or non-churn. Secondly, the deep learning churn prediction framework using convolutional neural network (CNN) algorithm. Finally, a case study is presented to show how churn prediction service is automatically trained and generated based on real customer data, where CNN parameters are adapted to achieve the most reliable performance in line with customers' behavior. The applied case study achieves accuracy 0.77, area under the curve (AUC) 0.84 and f1 score 0.83.
Depression detection in social media comments data using machine learning algorithms
Authors: Vasha Zannatun Nayem , Sharma Bidyut , Esha Israt Jahan , Al Nahian Jabir , Polin Johora Akter
Published: December 2022

Depression is the next level of negative emotions. When a person is in a sad mood or going through a difficult situation and it is not leaving him and giving him pain continuously and he is unable to bear it anymore, that situation is called depression. The last stage of depression occurs in suicide. According to the World Health Organization (WHO), Currently, 4.4% of people in the world are currently suffering from depression. In 2021, fourteen thousand people committed suicide all over the world and the rating of suicide is increasing day by day. So, our study is to find depressed people by their comments, posts, or texts on social media. We collected almost 10,000 data from Facebook posts, comments, and YouTube comments. Data mining and machine learning (ML) algorithms make our work easier and play a big role in easily detecting a person’s emotions. We applied six classifiers to predict depression non-depression and found the best accuracy on a support vector machine (SVM).
Text-to-image generation based on AttnDM-GAN and DMAttn-GAN: applications and challenges
Authors: Bayoumi Razan , Alfonse Marco , Roushdy Mohamed , Salem Abdel-Badeeh M.
Published: December 2022

The deep fake faces generation using generative adversarial networks (GANs) has reached an incredible level of realism where people can’t differentiate the real from the fake. Text-to-face is a very challenging task compared to other text-to-image syntheses because of the detailed, precise, and complex nature of the human faces in addition to the textual description details. Providing an accurate realistic text-to-image model can be useful for many applications such as criminal identification where the model will be acting as the forensic artist. This paper presents text-to-image generation based on attention dynamic memory (AttnDM-GAN) and dynamic memory attention (DMAttn-GAN) that are applied to different datasets with an analysis that shows the different complexity of different datasets’ categories, the quality of the datasets, and their effect on the results of the resolution and consistency of the generated images.
Bluetooth beacons based indoor positioning in a shopping malls using machine learning
Authors: Maaloul Kamel , Lejdel Brahim , Clementini Eliseo , Abdelhamid Nedioui Med
Published: December 2022

The adoption of Bluetooth beacon technology demonstrates a broad interest in indoor positioning technology because of its low cost and ease of use. Bluetooth beacons usually have an accuracy of fewer than 4 meters. The use of machine learning (ML) leads to results with greater accuracy compared to using traditional filtering methods. In this paper, we provide indoor localization based on Bluetooth beacons using several different ML techniques. We used ML algorithms to locate customers' devices in shopping malls. The extra-trees classifier and k-neighbors classifier found the device with greater than 90% accuracy. Other algorithms were able to determine the location with less accuracy. The results also showed that Bluetooth technology is a valid solution to find the data used to analyze the spatial-temporal behavior of individuals.
Cuckoo filter based IP packet filtering using M-tree
Authors: Abdulhassan Aladdin , Shubbar Roaa , Alhisnawi Mohammad
Published: December 2022

Internet protocol (IP) packet filtering as a firewall (FW) technology is one of the most widely researched networks functions over the past two decades. IP packet filtering is the process of filtering incoming and outgoing network packets by matching several packet headers fields with thousands of predefined filters known as filter-set. With the development of modern network technologies such as software-defined networking (SDN) and the increase in attacks threatening network security, attention has become focused on IP packet filtering. With the growing size and number of filter-sets, it becomes a challenge to perform IP packet filtering at wire-speed. In this paper, a new method is proposed for IP packet filtering, where two data structures were combined to produce a new data structure suitable for IP packet filtering with high performance and support dynamic access to filters as well as support approximate membership query. Experimental results show that the proposed method has a high throughput of 10.8 mega packets per second (MPpS) with high filtering accuracy and low memory requirements to working on big filter-sets (up to 1 mega filters).
Nearest-neighbor field algorithm based on patchMatch for myocardial perfusion motion estimation/correction
Authors: Alshamary Haider Ali Jasim , Abdullah Ahmad Sulaiman , Hbeeb Sadeq Adnan
Published: December 2022

Deformation correction and recovery of dynamic magnetic resonance images (DMRI) with low complexity algorithms without compromising image quality is a challenging problem. We proposed a motion estimation deformation-correction compressive sensing (DC-CS) scheme to recover dynamic images from its undersampled measurements. We simplify the complex optimization problem into three sub-problems. The contributions of this research are: introducing a global search strategy instead of the DC registration step, guaranteeing a non-explicit motion estimation that avoids any spatial alignment or registration of the images, and lowering the computational cost to the minimum by using PatchMatch (PM). The simulation result shows that the PM algorithm accelerates the recovery time without losing the quality in comparison with the DC algorithm.
Traditional and hybrid solar photovoltaic array configurations for partial shading conditions: perspectives and challenges
Authors: Narne Dharani Kumar , Kumar T. A. Ramesh , Alla RamaKoteswara Rao
Published: December 2022

he role of photovoltaic (PV) array in converting solar energy to electrical energy is very much important to get maximum power. Current challenge in solar PV systems is to make them energy efficient. Partial shading conditions (PSCs) is one of the main causes for performance degradation of PV array. It not only effects the shaded region but also effect the overall output of the PV array. Proper selection of configuration is essential to overcome such type of challenges. There exist various types of traditional configurations such as series (S), parallel (P), series parallel (SP), total-cross-tied (TCT), bridge-link (BL), and honeycomb (HC). Hybrid configurations also available such as series-parallel-total-cross-tied (SPTCT), bridge-link-total-cross-tied (BL-TCT), honey-comb- total cross-tied (HC-TCT), and bridge-link-honey-comb (BL-HC). This paper presents an overview on various types of configurations available with their merits and demerits under various partial shading situations. This paper also insights recent advancements in PV array configurations with their future trends to benefit the researchers working in this domain.
An ameliorated Round Robin algorithm in the cloud computing for task scheduling
Authors: Ghazy Nermeen , Abdelkader Afaf , Zaki Mervat S. , Eldahshan Kamal A.
Published: December 2022

Cloud computing is an advanced technology that offers types of assistance on requests. Because of the huge measure of requests got from cloud clients, all requests should be managed efficiently. Therefore, the task scheduling is critical in cloud computing. The provision of computational resources in cloud is controlled by a cloud provider. It is necessary to design high-efficiency scheduling algorithms that are compatible with the corresponding computing paradigms. This paper introduces a new task scheduling method for cloud computing called an ameliorated Round Robin algorithm (ARRA). The proposed algorithm develops an optimal time quantum based on the average of task burst time using fixed and dynamic manners. The experimental results showed that the ARRA significantly outperformed other algorithms including improved RR, enhanced RR, dynamic time quantum approach (ARR) and enhanced RR (RAST ERR) in terms of the average waiting time, average turnaround time and response time.
Normal operation and reverse action of on-load tap changing transformer with its effect on voltage stability
Authors: Alkahdely Sinan Moayad A. , Alsammak Ahmed Nasser B.
Published: December 2022

As electrical grids have expanded significantly, so too has the load on network buses. This, however, causes voltage drops to occur at the load side of the grid. A voltage drop causes a system to become unstable, increases its power loss, and reduces the amount of power that it transfers before finally leading to a collapse. An on-load tap changing (OLTC) transformer can be used to prevent the negative effects of an increased load by restoring the load voltage to its base value when sudden disturbances occur in the source. However, incorrect OLTC placement can cause the system to become unstable and cause collapse. This is referred to as the reverse action phenomenon of an OLTC. Therefore, this present study examined improving the ability of an OLTC to increase system stability and prevent collapse. A simple radial power distribution system was modelled in MATLAB. The results indicate that the proposed model can increase system stability and prevent collapse.
Data mining and analysis for predicting electrical energy consumption
Authors: Khudhair Inteasar Yaseen , Dhahi Sanaa Hammad , Alwan Ohood Fadil , Jaaz Zahraa A.
Published: December 2022

In this study paper, the feasibility of constructing a complete smart system for anticipating electrical power consumption is created, as electricity's market share is expected to expand over the future decades. Smart grids and smart meters will help utility companies and their customers soon. New services and businesses in energy management need software development and data analytics skills. New services and enterprises are competitive. The project's electricity consumers are categorized by their hourly power usage percentage. This classification was done using data mining (five algorithms in specific) and data analysis theory. This division aims to help each group minimize energy use and expenditures, encourage energy-saving activities, and promote consumer involvement by giving tailored guidance. The intended segmentation is done through an iterative process using a computer classification computation, post-analysis, and data mining with visualization and statistical methodologies.
Model of optimal distribution of network resources with constraints on quality of service indicators
Authors: Ulugbek Amirsaidov , Azamat Qodirov
Published: December 2022

Existing algorithms and mathematical models of queuing at the nodes of a telecommunications network are considered in this paper. The necessity of coordinated solutions to problems of distribution of channel and buffer resources of the network is shown. A model for the optimal distribution of channel and buffer resources on network nodes has been developed. The optimization (minimization) criterion is the total average packet delay with constraints on the quality of service (QoS) indicators of heterogeneous flows. The optimization problem is presented as a constrained nonlinear programming problem and solved using the “fmincon” program of the optimization toolbox MATLAB package.
Analysis of a Li-ion battery state of charge by artificial neural network
Authors: Arunagirinathan Sumithara , Subramanian Chitra
Published: December 2022

The state of charge (SOC) is a battery residual capacity crucial assessment metric. The need for a precise SOC estimate is very important to ensure the safe functioning of a Li-ion battery and to prevent overload and over-depletion. However, the renewable energy-based standalone application has become a key problem to determine the exact capacity of SOC of the Li-ion battery. To estimate the capacity over time, the battery management system calculates the SOC of a Li-ion battery. This allows for the implementation of intelligent control systems. This paper presents an enhanced radial basis function (RBF) of the SOC battery estimate following the limits and weaknesses of the back propagation (BP) neural network (NN) in estimating battery SOC, such as sluggish convergence speed, poor generalization and can increase the accuracy of the network but it takes time to iterate. Train the enhanced RBF with experimental data in real-time. The trained NN of SOC is compared to actual values and the MATLAB is used to simulate the method to evaluate its accuracy.
Factors contributing to and biological concepts about early pregnancy among Filipino adolescent mothers
Authors: Ballon Jastine Jane R. , Tamoria Joseline R
Published: December 2022

In the 21st century society, teenage life is the most deceitful stage in the life of a person. This is where teenagers adjust their physical and emotional changes in life. Early pregnancy becomes a social problem in our society and also in the Philippines. The study sought to determine the factors contributing to and biological concepts of adolescent mothers in early pregnancy. This mixed-method research purposively involved 30 adolescent mothers who enrolled in a state university in Zambales, Philippines. Results revealed that most adolescent mothers gave birth when they were 17-19 years old; most of them continue their studies and returned to school after three years and above. Among the factors, family and mass media do not affect their engagement in early pregnancy. Filipino adolescent mothers are all aware of the biological concepts in terms of the types of fertility control, biological processes, signs of pregnancy, and in the effects of early pregnancy. Five themes emerged on how young moms overcome their teenage pregnancy experiences. The respondents are all aware of the biological concepts in early pregnancy. Gender and development office of the university may craft programs that empower student-teenagers to cope with the challenges that they face during pregnancy.
Mental well-being among COVID-19 patients in isolation house
Authors: Pratama Rini Mustikasari Kurnia , Marlin Diane , Mariana Silvia
Published: December 2022

Psychosocial effects of COVID-19 patients have a long-term impact. Isolation is carried out to prevent transmission of the virus for several months causing anxiety, saturation, and even patients experiencing insomnia. Well-being is very subjective, differing from one individual to another, and where well-being can be used as an indicator of a person's happiness or not. The sample this study was amounted to 50 people who were COVID-19 patients. They were undergoing self-isolation in the isolation house of Jambi Province, Indonesia. The study was conducted using self report questionarre 29 (SRQ 29) and subjective well-being scale. In this study, most of the respondents experienced mental emotionaldisorders, negative emotions, and felt satisfied in living their lives. They experienced insomnia or sleep disorders.
Factors associated with the willingness to receive COVID-19 vaccination among pregnant women
Authors: Jaelani Hana Fathiazzahra , Syahniar Rike
Published: December 2022

Pregnant women are a vulnerable group to be infected by COVID-19, and have a higher risk of serious illness, morbidity, and mortality than the general population. Willingness to receive COVID-19 vaccination has a decisive role in successfully controlling the COVID-19 pandemic. The objective of this study was to determine the factors related to the willingness to get COVID-19 vaccination in pregnant women at the Teluknaga Public Health Center. A total of 102 pregnant women with gestational ages of 13 to 33 weeks were selected by convenience sampling. Data were collected by filling out a questionnaire during November to December 2021. All respondents had a health status that meets the requirements for COVID-19 vaccination. Overall, 63% of pregnant women wanted to receive COVID-19 vaccination. There were significant relationships between education (p=0.029), frequency of antenatal care (p=0.019), husband's support (p<0.001) and willingness to receive vaccination. Religion, occupation, knowledge about COVID-19, parity, frequency of antenatal care visits, and sources of information did not show significant relationships with the willingness to receive COVID-19 vaccination among them. Education and awareness campaigns about the safety of the COVID-19 vaccine for pregnant women and the role of health workers are needed to raise awareness.
Assessing students' 'clean and healthy living behavior' in an intervention program
Authors: Anggraeni Henny Endah , Paramitadevi Yudith Vega , Apriliani Fany , Resmeiliana Ika
Published: December 2022

The Indonesian government manages the health and environment of students through the post-Islamic boarding school program. However, it has not run optimally due to students' lack of knowledge and literacy on personal and environmental sanitation. This study identified the knowledge about an environmental-based sanitation approach among students at boarding schools. The study was conducted in October 2021 using the principle of the pre-post test method based on an intervention study. The students who participated in this study were 70 female students of Junior and Senior High School levels. The students were given practical training regarding the concept and benefits of 'clean and healthy living behavior' (CHLB), infectious skin diseases, the status of waste management, and health and environmental issues resulting from burning waste. The statistical analysis uses Chi-square descriptive analysis. There was an increase in the post-test results compared to the pre-test by 5% for students' understanding of the definition of CHLB and 60% for students' understanding of air pollution reduction efforts from the students' point of view. The students understand learning environment-based sanitation through practical intervention.
Development and validation of proactive coping smoking cessation in adolescents
Authors: Hadiyani Wini , Nambiar Nisha , Mohd Said Faridah Binti , Lindayani Linlin , Rakhmawati Windy , Juniarti Neti
Published: December 2022

Smoking is one of the most significant lifestyle factors contributing to the global disease burden. Individuals who use proactive coping will improve their environment and life rather than reacting to the past and planning for the future by constructing and pooling available resources to deal with stressors. However, instruments measured proactive coping toward smoking cessation are limited. This study aimed to develop and test the validity and reliability of proactive coping toward smoking cessation in adolescents. The data collection process was divided into two phases, namely instrument development and psychometric testing. Exploratory factor analysis and reliability testing were conducted on 300 adolescents. Proactive coping smoking cessation (PCSC) is the development of proactive coping inventory (PCI). Loading factor coefficient on support seeking 0.54-0.82, reflective coping 0.585-0.823, strategic planning 0.580-0.736, proactive coping 0.439-0.648, avoidance 0.586-0.826 and preventive coping 0.507-0.707. Cronbach's alpha for PCSC ranged from 0.970 to 0.972. PCSC shows the acceptable internal and external consistency and the results of the exploratory factor analysis (EFA) verify that the six-factor model correctly represents the original PCI factor structure. Future studies are required to test the instrument in different setting and culture.
Lessons learned from COVID-19 impact of pandemic on children with neurological disorders in Sfax, Tunisia
Authors: Zouari Mallouli Salma , Najjar Sahar , Kamoun Feki Fatma , Jallouli Olfa , Ben Nsir Sihem , Bouchaala Wafa , Leonardi Matilde , Charfi Triki Chahnez
Published: December 2022

To record the experience of caregivers for neurologically impaired children during the lockdown periods. Data from 286 children's caregivers were collected through an administered questionnaire to record: access to care services during the lockdown periods, causes underlying loss of access to care, mitigations adopted by caregivers and patients’ outcomes. The mean age of children was 8.11 years-old and sex ratio (F/M) was 0.66. They were mainly followed-up for epilepsy or epileptic encephalopathy (53%) and cerebral palsy (21%). During the lockdown periods, caregivers reported that 45% of children had no access to healthcare majorly for neurorehabilitation (76.7%) and medicines (70.7%). Most caregivers (36%) related limitations in access to fear from catching the virus. The majority resorted to continuation of the same treatment via primary healthcare facilities (41%) and postponement of their appointments (24%). Our results show that access to healthcare for children with neurological disorders was deeply disrupted during the COVID-19 pandemic. The already precarious health systems’ infrastructures might have been the main causes for this and should be thus considered in the health policy and planing.
“They looked at me like I am a virus”: how survivors cope with COVID-19 stigma during the early stage of pandemic
Authors: Sulistyawati Sulistyawati , Rokhmayanti Rokhmayanti , Aji Budi , Wijayanti Siwi Pramatama Mars , Sukesi Tri Wahyuni , Mulasari Surahma Asti
Published: December 2022

COVID-19 has shocked everyone globally, with fears of contracting the disease and the other socio-economic impacts. The noticeable impact at the beginning of the COVID-19 pandemic was the emergence of mental health disorders in the community, especially for patients, namely the stigma labeled on them. This study aimed to explore the COVID-19 survivors’ experience since they were declared positive and isolated, including the stigma they faced in the early stage of the pandemic, using a phenomenology approach. Eight informants selected through purposive sampling were contacted via in-depth online interviews during September-December 2020. All interviews were recorded, transcribed, and analyzed using thematic analysis. During the investigation, this research found two themes: encountering unpleasant impacts when contracting COVID-19 and coping strategies related to the impact. The negative stigma affected the informants’ psychology and economics. Most informants took a religious/belief method to cope with the adversity, such as surrendering to God, and some reported ignoring the stigma. After one year of the pandemic, the stigma has dramatically reduced. However, continuous education in the community is needed to prevent stigmatization of COVID-19 survivors since the pandemic continues and scientific development in fighting this disease is ongoing. This research provides lessons learned to the community and related parties that mental health must also be a concern beyond the rapid response to disease control in a health emergency.
Elective caesarean section cost efficiency with time-driven activity-based costing
Authors: Haq Fahmy Abdul , Pribadi Firman , Akrom Akrom
Published: December 2022

Hospitals compete to increase the value of services, one of which is cost-efficiency. The complexity of the service process and many resources in health services make calculating costs difficult. Time-driven activity based costing (TDABC) can identify specific cost drivers so that it has the potential to help identify inefficient processes. This study analyzes the cost efficiency of caesarean section with the TDABC. This study uses a qualitative research design with a case study method at one of the hospitals in Bantul, Yogyakarta, Indonesia. Primary data was taken from direct observation and interviewing hospital staff. Secondary data were obtained from hospital annual report 2019, hospital financial reports 2019, and patient medical records. The cost of a caesarean section was calculated and analyzed using the seven-step TDABC model with one-year hospital 2019 data. The cost of an elective caesarean section with the TDABC method is IDR 4,576,182.72. Hospitals can reduce postoperative costs by 25% by reducing the use of medicine and antibiotics. Based on the research results, TDABC can properly analyze costs based on services and identify inefficient processes.