bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction of China’s Express Business Volume Based on FGM (1, 1) Model
Authors: Xiong Chunyan , Wu Liusan
Published: August 2021

With the continuous development of the economy, people’s lifestyle has changed greatly, online shopping has become a better choice for many people, and the express business volume is also increasing. Forecasting express business volume is of benefit to the healthy development of the logistics industry. Based on the data of China’s express business volume from 2015 to 2019, this paper uses the improved Particle Swarm Optimization algorithm to calculate the fractional-order r of the FGM (1, 1) model and forecasts China’s express business volume from 2020 to 2023. The results indicate that in the next few years, China’s express business volume will show a large growth trend, indicating that the express delivery industry still has a lot of room for development.
Contribution of Neuronal and Glial Two-Pore-Domain Potassium Channels in Health and Neurological Disorders
Authors: Luo Yuncheng , Huang Lu , Liao Ping , Jiang Ruotian
Published: August 2021

Two-pore-domain potassium (K2P) channels are widespread in the nervous system and play a critical role in maintaining membrane potential in neurons and glia. They have been implicated in many stress-relevant neurological disorders, including pain, sleep disorder, epilepsy, ischemia, and depression. K2P channels give rise to leaky K+ currents, which stabilize cellular membrane potential and regulate cellular excitability. A range of natural and chemical effectors, including temperature, pressure, pH, phospholipids, and intracellular signaling molecules, substantially modulate the activity of K2P channels. In this review, we summarize the contribution of K2P channels to neuronal excitability and to potassium homeostasis in glia. We describe recently discovered functions of K2P channels in glia, such as astrocytic passive conductance and glutamate release, microglial surveillance, and myelin generation by oligodendrocytes. We also discuss the potential role of glial K2P channels in neurological disorders. In the end, we discuss current limitations in K2P channel researches and suggest directions for future studies.
Bottlenecks in Expanding Science and Technology Education in Nepal: An Exploratory Study
Authors: Dhamala Man Kumar , Koirala Madan , Khatiwada Ram Prasad , Deshar Rashila
Published: August 2021

Higher education and research for socioeconomic development are well recognized in developed and developing countries. Studies have shown that a high participation rate in higher education with a high share of Science, Technology, Engineering, and Mathematics (STEM) education is critical for competitiveness in the global market. Nepal would not fulfill people’s aspirations for prosperity by perpetuating the status quo scenario of the education system. This study aimed at exploring and assessing the factors influencing science and technology education in Nepal and tried to assess the current status of science education and critically examine the factors affecting the development of science education in Nepal. The study used both primary and secondary data. The primary source of data is from interviews, observations, focused group discussions, and semistructured questionnaires. Secondary data were collected from National Examination Board, universities, colleges, and campuses. The study found a decreasing trend of student enrollment in science and technology (S&T) education in Nepal. In addition, the results revealed a decreasing trend of women students, so it should be taken as a matter of concern. Some key bottlenecks identified were insufficient and broken physical infrastructures (classrooms, laboratories, and libraries); inadequate and incapable human resources; and improper management practices. However, the study results show positive perceptions of society towards S&T education in Nepal. The study recommends developing modern infrastructures, building human resources, and improving management practices for better S&T education.
The
p
-Adic Valuations of Sums of Binomial Coefficients
Authors: Zhang Yong , Yuan Peisen
Published: August 2021

In this paper, we prove three supercongruences on sums of binomial coefficients conjectured by Z.-W. Sun. Let

p

be an odd prime and let

h
∈
ℤ

with

2
h
−
1
≡
0

mod
p

. For

a
∈

ℤ

+

and

p

a

>
3

, we show that

∑

k
=
0

p

a

−
1

h

p

a

−
1

k

2
k

k

−

h
/
2

k

≡
0

mod

p

a
+
1

. Also, for any

n
∈

ℤ

+

, we have

ν

p

∑

k
=
0

n
−
1

h
n
−
1

k

2
k

k

−

h
/
2

k

≥

ν

p

n

, where

ν

p

n

denotes the

p

-adic order of

n

. For any integer

m

≡

0

mod
p

and positive integer

n

, we have

1
/

p
n

∑

k
=
0

p
n
−
1

p
n
−
1

k

2
k

k

/

−
m

k

−

m

m
−
4

/
p

∑

k
=
0

n
−
1

n
−
1

k

2
k

k

/

−
m

k

∈

ℤ

p

, where

−
˙

is the Legendre symbol and

ℤ

p

is the ring of

p

-adic integers.
Spatial Learning Is Associated with Antagonist Outcomes for DNA Methylation and DNA Hydroxymethylation in the Transcriptional Regulation of the Ryanodine Receptor 3
Authors: Torres Rodrigo F. , Kerr Bredford
Published: August 2021

Increasing attention has been drawn to the role that intracellular calcium stores play in neuronal function. Ryr3 is an intracellular calcium channel that contributes to hippocampal long-term potentiation, dendritic spine function, and higher cognitive processes. Interestingly, stimuli that increase neuronal activity upregulate the transcriptional activity of Ryr3 and augment DNA methylation in its proximal promoter. However, if these observations are valid for complex behavioral tasks such as learning and memory remains being evaluated. Relative expression analysis revealed that spatial learning increased the hippocampal levels of Ryr3, whereas mice trained using a visible platform that resulted in no spatial association showed reduced expression. Interestingly, we also observed that specific DNA modifications accompanied these opposite transcriptional changes. Increased DNA methylation was observed in hippocampal samples from spatially trained mice, and increased DNA hydroxymethylation was found in samples from mice trained using a visible platform. Both DNA modifications were not altered in control regions, suggesting that these changes are not generalized, but rather specific modifications associated with this calcium channel’s transcriptional regulation. Our two experimental groups underwent the same physical task differing only in the spatial learning component, highlighting the tight relationship between DNA modifications and transcriptional activity in a relevant context such as behavioral training. Our results complement previous observations and suggest that DNA modifications are a reliable signal for the transcriptional activity of Ryr3 and can be useful to understand how conditions such as aging and neuropathological diseases determine altered Ryr3 expression.
Hadamard and Fejér–Hadamard Inequalities for

α
,
h
−
m

−
p
-Convex Functions via Riemann–Liouville Fractional Integrals
Authors: Jia Wenyan , Yussouf Muhammad , Farid Ghulam , Khan Khuram Ali
Published: August 2021

In this paper, we introduce

α
,
h
−
m

−
p

-convex function and some related functions. By applying this generalized definition, new versions of Hadamard and Fejér–Hadamard fractional integral inequalities for Riemann–Liouville fractional integrals are given. The presented results hold at the same time for different types of convexities.
Robot Control Using Alternative Trajectories Based on Inverse Errors in the Workspace
Authors: Duong Quoc Khanh , Trang Thanh Trung , Pham Thanh Long
Published: August 2021

It is easy to realize that most robots do not move to the desired endpoint (Tool Center Point (TCP)) using high-resolution noncontact instrumentation because of manufacturing and assembly errors, transmission system errors, and mechanical wear. This paper presents a robot calibration solution by changing the endpoint trajectories while maintaining the robot’s control system and device usages. Two independent systems to measure the endpoint positions, the robot encoder and a noncontact measuring system with a high-resolution camera, are used to determine the endpoint errors. A new trajectory based on the measured errors will be built to replace the original trajectory. The results show that the proposed method can significantly reduce errors; moreover, this is a low-cost solution and easy to apply in practice and calibration can be done cyclically. The only requirement for this method is a noncontact measuring device with high-resolution and located independently with the robot in calibration.
Camrelizumab plus Famitinib in Patients with Advanced or Metastatic Renal Cell Carcinoma: Data from an Open-label, Multicenter Phase II Basket Study
Authors: Qu Yuan-Yuan , Zhang Hai-Liang , Guo Hongqian , Luo Hong , Zou Qing , Xing Nianzeng , Xia Shujie , Sun Zhongquan , Zhang Xuepei , He Chaohong , Cai Jinling , Zhang Xiao , Wang Quanren , Ye Ding-Wei
Published: August 2021

Purpose:

Blockade of immune checkpoint and angiogenesis is an effective treatment strategy for advanced or metastatic renal cell carcinoma (RCC). We report the results of camrelizumab plus famitinib in the RCC cohort of an open-label, multicenter, phase II basket study.

Patients and Methods:

Eligible patients were enrolled to receive camrelizumab (200 mg i.v. every 3 weeks) and famitinib (20 mg orally once daily). Primary endpoint was objective response rate (ORR) per RECIST version 1.1.

Results:

Totally, 38 patients were recruited, including 13 (34.2%) treatment-naïve and 25 (65.8%) previously treated patients. With a median duration from enrollment to data cutoff of 16.5 months (range, 6.1–20.4), 23 patients achieved a confirmed objective response, and ORR was 60.5% [95% confidence interval (CI), 43.4–76.0]. Responses in 18 (78.3%) responders were still ongoing, and Kaplan–Meier estimated median duration of response had not been reached yet (range, 1.0+–14.8+ months). Median progression-free survival (PFS) was 14.6 months (95% CI, 6.2–not reached). ORR was 84.6% (95% CI, 54.6–98.1) in treatment-naïve patients and 48.0% (95% CI, 27.8–68.7) in pretreated patients; median PFS had not been reached and was 13.4 months (95% CI, 4.1–not reached), respectively. Most common grade 3 or 4 treatment-related adverse events included proteinuria (18.4%), hypertension (18.4%), decreased neutrophil count (13.2%), palmar-plantar erythrodysesthesia syndrome (10.5%), and hypertriglyceridemia (10.5%). No treatment-related deaths occurred, and no new safety signals were observed.

Conclusions:

Camrelizumab plus famitinib showed potent and enduring antitumor activity in patients with advanced or metastatic RCC, both in treatment-naïve and previously treated population.
Dedifferentiated Osteosarcoma of the Distal Ulna: A Case Report
Authors: Tsujisaka Ryosuke , Nakayama Robert , Sekita Tetsuya , Asano Naofumi , Kikuta Kazutaka , Oguro Sota , Takeuchi Katsuhito , Sasaki Aya , Okita Hajime , Nakamura Masaya , Matsumoto Morio
Published: August 2021

Osteosarcoma is the most common malignant primary bone tumor that occurs most frequently in the second decade of life but rarely in patients over 40 years of age. The most common primary sites of osteosarcoma are the distal femur followed by proximal tibia and proximal humerus, and involvement of the wrist is extremely rare. Moreover, dedifferentiated osteosarcoma is also a rare condition that progresses to high-grade osteosarcoma from low-grade osteosarcoma, usually central low-grade osteosarcoma or parosteal osteosarcoma that bears MDM2 and/or CDK4 gene amplifications. We herein report an extremely rare case of dedifferentiated osteosarcoma arising in the distal ulna of an adult over 40 years of age. The patient was a 46-year-old man with a 2-month history of pain in his left swollen wrist. The initial radiological findings suggested a benign bone tumor in the distal ulna, and the lesion was marginally excised at the nearby hospital. Although the pathological diagnosis at the nearby hospital suggested a benign cartilaginous tumor, the tumor recurred in an aggressive manner 8 months after the initial surgery. The patient was referred to our hospital, and an incisional biopsy showed a high-grade osteosarcoma. The primary tumor was retrospectively re-evaluated at our hospital and diagnosed as low-grade osteosarcoma. Since neoadjuvant chemotherapy failed to shrink the tumor, the patient had to undergo below the elbow amputation to cure the disease. Although the tumor was negative for MDM2 nor CDK4, the definitive diagnosis of dedifferentiated osteosarcoma was made according to the clinical course and the histological findings. Lung metastases were found 10 months after the amputation, which were successfully treated by neoadjuvant chemotherapy and surgery. The patient has been doing well with no evidence of disease for 1 year and 6 months. Surprisingly, the literature review revealed that many low-grade osteosarcomas of the distal ulna progressed to high-grade dedifferentiated osteosarcomas. One should bear in mind that the diagnosis and treatment for bone-forming tumors of the distal ulna should be made very carefully because, although rare, it is possible that the tumor may initially appear as a benign or low-grade malignant tumor and may progress to high-grade osteosarcoma.
Skin Deep: A Fascinating Case Report of Immunotherapy-Triggered, Treatment-Refractory Autoimmune Lichen Planus and Keratoacanthoma
Authors: Preti Beatrice T. B. , Pencz Alec , Cowger Jeffery J. M. , Vincent Mark D. , Breadner Daniel
Published: August 2021

This case discusses a 62-year-old woman with de novo metastatic lung adenocarcinoma (PD-L1 >50% with a KRAS G12C mutation, ALK and EGFR negative) who was on pembrolizumab for 1 year without any significant toxicity, only low-grade dermatitis and hypothyroidism. She was transitioned to pembrolizumab every 6 weeks at 4 mg/kg and began to develop oral sores shortly thereafter. The sores proved refractory to nystatin and mouth rinses containing corticosteroids, and the patient was ultimately diagnosed with autoimmune-triggered lichen planus. Unfortunately, her symptoms also proved refractory to typical treatments for lichen planus and worsened to the point where she began to develop cutaneous lesions and difficulty swallowing. Unfortunately, she also developed a keratoacanthoma that required excision. The pembrolizumab was stopped, and the patient’s symptoms improved with 5 days of systemic prednisone, metronidazole, and triamcinolone oral paste. Her NSCLC remains stable off active treatment for 6 months. This case study is on rare auto-immune toxicity as well as a keratoacanthoma from anti-PD-(L) 1 blockade, accompanied by sustained treatment response after cessation of the offending drug.
Regulation of miR-126 and miR-122 Expression and Response of Imatinib Treatment on Its Expression in Chronic Myeloid Leukemia Patients
Authors: Ali Beg Mirza Masroor , Guru Sameer Ahmad , Abdullah Saleh Mohammed , Ahmad Irfan , Rizvi Aliya , Akhter Juheb , Goyal Yamini , Verma Amit K.
Published: August 2021

Background: MicroRNAs (miRNAs) have been observed to exhibit altered expression patterns in chronic myeloid leukemia (CML). Therefore, this study was aimed to evaluate the clinical importance of miR-126 and miR-122 expression in concert to imatinib response in CML patients. Methods: The present study included 100 CML and 100 healthy subjects. The expression of the 2 miRNAs was performed using TaqMan probe chemistry, and snU6 was used as internal control. Results: The expression of miR-126 and miR-122 was downregulated in CML patients, with a mean fold change ± SD 0.20 ± 0.33 and 0.22 ± 0.37, respectively. While the expression of both miRNAs was analysed before and after imatinib treatment, it was observed that the expression levels of both were increased after imatinib treatment by 26.25-fold (5.33 against 0.20) and 13.95-fold (3.07 against 0.22) and the increase was statistically significant (p < 0.0001 and p < 0.0001, respectively). The expression of miR-126 was not conclusive when compared in different clinical stages of the CML disease as it showed a decreased expression in patients with accelerated phase compared to chronic phase (mean fold change = 0.03 and 0.27, respectively), but patients with chronic phase and blastic phase had comparable expression (mean fold change = 0.27 and 0.24, respectively). We also observed an increased expression of both miRNAs after imatinib therapy in each clinical phase. Conclusion: The study concludes that expression of miR-126 and miR-122 increases after imatinib treatment in CML patients and that miR-126 defines the good responders of imatinib therapy.
The relationship between students’ mathematical disposition and their learning outcomes
Authors: Kamid Kamid , Huda Nizlel , Syafmen Wardi , Sufri Sufri , Sofnidar Sofnidar
Published: August 2021

The affective aspects must be owned by students in a lesson, where the affective aspects will have a relationship with the cognitive aspects of a student, therefore this study aimed to determine whether there is a relationship between students 'mathematical dispositions and students' mathematics learning outcomes. Using a mixed method and a sequential explanatory plan, the research was undertaken by first collecting quantitative data and then continuing to collect qualitative data. Where, the sample count in this study was 413 students from junior secondary schools 18 in Jambi City, Indonesia who used a total sampling technique. Data were then analyzed with the help of SPSS 21 application to find descriptive statistics in the form of mean, min, max, and category as well as inferential statistics using Pearson Product Moment. The results obtained in this study dominate both the mathematical disposition of pupils and the learning outcomes of pupils in mathematics. This was reinforced by the existence of a relationship between mathematical disposition and student learning outcomes in mathematics which is indicated by the obtained sig 0.05. This means that the mathematical disposition of students which includes the affective aspect of students has a relationship with the cognitive aspect, by having a good affective aspect, the cognitive aspects of the student are also good.
Developing online learning guidebook for junior high school level in Kendari City
Authors: Darnawati Darnawati , Jamiludin Jamiludin , Mursidin Mursidin , Ili La
Published: August 2021

This research aimed to develop online learning guidebook for junior high school level. The method used in this research was research and development in terms of 4-D model development which consists of four main stages: Define, Design, Develop, and Disseminate. The informants were study consisted of 2 expert informants and 17 junior high school teachers in Kendari City, Southeast Sulawesi, Indonesia. This type of research data was descriptive qualitative. The data collected were in the form of suggestions and responses put forward by the informants. This information was collected and summarized to improve the learning products developed. The results showed that the developed online learning guidebook has met the appropriate criteria in the media and language aspects by the respective experts. Besides, Teachers find that this guidebook is very interesting and useful as a guide in online learning, especially during the current pandemic. Furthermore, the developed guide book fosters curiosity of teachers to find out the use of applications in the book, and makes teachers think creatively in making learning media. The online learning guidebook is advantaged for the teachers to provide interesting learning media and material for students especially in this pandemic era.
An application system for the design of the spindle tool clamping mechanism
Authors: Kannan Parthiban , Ramanathan Ragul
Published: August 2021

The heart of the machining center design is the spindle design, and one of the primary functions in the spindle design is a tool clamping system mechanism. The selection of disc spring stack for a tool clamping mechanism is an iterative process that highly depends on the spindle space availability, drawbar design, tool unclamp stroke length, and standard clamping force requirements. For example, even a design space of 0.1 mm may impact one kN clamping force depending on the disc spring stack design. Hence the design of the tool clamping system for a spindle is a time- intensive process and also needed careful attention. The iterative process of disc spring stack selection may lead to an unoptimized tool clamping system, which may not be the best design. This paper explains a dynamic way to find the best spring stack selection to optimize the spindle tool clamping mechanism based on the computational application.
Dashboard for analyzing SCADA data log: a case study of urban railway in Malaysia
Authors: Mohamad Nazwa Hidayah , Hashim Hairulazwan , Abdul Hamid Nor Aziati , Ismail Mohd Ismarul Azhar
Published: August 2021

The operation of maintenance in the railway industry is high priorities for safety which reflects the train services. The Kelana Jaya Line (KJL) is the leading urban metro train operator among light rail transit (LRT) categories in Malaysia. The main issue in KJL, they are facing huge historical data from the supervisory control and data acquisition (SCADA) logger when organizing the corrective maintenance work schedule. The previous conventional method leads to time constraint which causes redundancy of data reading. Hence, SCADA Dashboard was developed as a tool to structure their work prioritization for weekly planning. It was developed by using Microsoft Power Query and Power Pivot, in the advanced Excel software. The dashboard evaluation was performed based on usability and user experience studies. The evaluation test proves that the dashboard can be used effectively and it’s beneficial to the organizations as well as a contribution towards systematic maintenance.
Heuristic remedial actions in the reliability assessment of high voltage direct current networks
Authors: Rios Mario A. , Perez Maria F.
Published: August 2021

Planning of high voltage direct current (HVDC) grids requires inclusion of reliability assessment of alternatives under study. This paper proposes a methodology to evaluate the adequacy of voltage source converter/VSC-HVDC networks. The methodology analyses the performance of the system using N-1 and N-2 contingencies in order to detect weaknesses in the DC network and evaluates two types of remedial actions to keep the entire system under the acceptable operating limits. The remedial actions are applied when a violation of these limits on the DC system occurs; those include topology changes in the network and adjustments of power settings of VSC converter stations. The CIGRE B4 DC grid test system is used for evaluating the reliability/adequacy performance by means of the proposed methodology in this paper. The proposed remedial actions are effective for all contingencies; then, numerical results are as expected. This work is useful for planning and operation of grids based on VSC-HVDC technology.
A fuzzy rule based approach for islanding detection in grid connected inverter systems
Authors: Ikken Naima , Tariba Nour-Eddine , Bouknadel Abdelhadi , Haddou Ahmed , Omari Hafsa El , Omari Hamid El
Published: August 2021

Islanding is when an area of the electrical distribution system is isolated from the electrical system while being powered by distributed generators. An important condition for the interconnection of power plants and distribution systems is the ability of the power plant to detect islands. The presented and proposed method is a combination of best active sandia frequency shift (SFS) method with the intelligent fuzzy logic controller, which has been tested in distributed production using the island detection function. And the choice to improve the method by fuzzy logic control (FLC) is retained, as this process is more effective in decreasing the non-detection zone (NDZ) and in further improving the efficiency of the islanding detection system. This paper proposes a new active islanding detection technique controlled by a fuzzy logic controller, for grid connected photovoltaic (PV) inverters. In addition, the efficiency and performance of the proposed method strategy for islanding detection has been analyzed and tested in the various situations of the network. In addition, the results of the simulations with the power simulation (PSIM) software will be provided to illustrate the main conclusions and the development of the control. Thus, will be used to show the feasibility and validity of the proposed new algorithm.
FPGA implementation of LDPC soft-decision decoders based DCSK for spread spectrum applications
Authors: Hasan Fadhil S. , Mosleh Mahmood F. , Abdulhameed Aya H.
Published: August 2021

Spread spectrum (SS) communications have attracted interest because of their channel attenuation immunity and low intercept potential. Apart from some extra features such as basic transceiver structures, chaotic communication would be the analog alternative to digital SS systems. Differential chaos shift keying (DCSK) systems, non-periodic and random characteristics among chaos carriers as well as their interaction with soft data are designed based on low-density parity-check (LDPC) codes in this brief. Because of simple structure, and glorious ability to correct errors. Using the Xilinx kintex7 FPGA development kit, we investigate the hardware performance and resource requirement tendencies of the DCSK communication system based on LDPC decoding algorithms (Prob. Domain, Log Domain and Min-Sum) over AWGN channel. The results indicate that the proposed system model has substantial improvements in the performance of the bit error rate (BER) and the real-time process. The Min-Sum decoder has relatively fewer FPGA resources than the other decoders. The implemented system will achieve 10-4 BER efficiency with 5 dB associate Eb/No as a coding gain.
Impact analysis of actuator torque degradation on the IRB 120 robot performance using simscape-based model
Authors: Truc Le Ngoc , Quang Nguyen Phung , Quang Nguyen Hong
Published: August 2021

Actuators in a robot system may become faulty during their life cycle. Locked joints, free-moving joints, and the loss of actuator torque are common faulty types of robot joints where the actuators fail. Locked and free-moving joint issues are addressed by many published articles, whereas the actuator torque loss still opens attractive investigation challenges. The objectives of this study are to classify the loss of robot actuator torque, named actuator torque degradation, into three different cases: Boundary degradation of torque, boundary degradation of torque rate, and proportional degradation of torque, and to analyze their impact on the performance of a typical 6-DOF robot (i.e., the IRB 120 robot). Typically, controllers of robots are not pre-designed specifically for anticipating these faults. To isolate and focus on the impact of only actuator torque degradation faults, all robot parameters are assumed to be known precisely, and a popular closed-loop controller is used to investigate the robot’s responses under these faults. By exploiting MATLAB-the reliable simulation environment, a simscape-based quasi-physical model of the robot is built and utilized instead of an actual expensive prototype. The simulation results indicate that the robot responses cannot follow the desired path properly in most fault cases.
Mesenteric cyst detection and segmentation by multiple K-means clustering and iterative Gaussian filtering
Authors: Nasor Mohamed , Obaid Walid
Published: August 2021

In this article a fully automated machine-vision technique for the detection and segmentation of mesenteric cysts in computed tomography (CT) images of the abdominal space is presented. The proposed technique involves clustering, filtering, morphological operations and evaluation processes to detect and segment mesenteric cysts in the abdomen regardless of their texture variation and location with respect to other surrounding abdominal organs. The technique is comprised of various processing phases, which include K-means clustering, iterative Gaussian filtering, and an evaluation of the segmented regions using area-normalized histograms and Euclidean distances. The technique was tested using 65 different abdominal CT scan images. The results showed that the technique was able to detect and segment mesenteric cysts and achieved 99.31%, 98.44%, 99.84%, 98.86% and 99.63% for precision, recall, specificity, dice score coefficient and accuracy respectively as quantitative performance measures which indicate very high segmentation accuracy.
New extensions of Rayleigh distribution based on inverted-Weibull and Weibull distributions
Authors: Smadi Mahmoud M. , Alrefaei Mahmoud H.
Published: August 2021

The Rayleigh distribution was proposed in the fields of acoustics and optics by lord Rayleigh. It has wide applications in communication theory, such as description of instantaneous peak power of received radio signals, i.e. study of vibrations and waves. It has also been used for modeling of wave propagation, radiation, synthetic aperture radar images, and lifetime data in engineering and clinical studies. This work proposes two new extensions of the Rayleigh distribution, namely the Rayleigh inverted-Weibull (RIW) and the Rayleigh Weibull (RW) distributions. Several fundamental properties are derived in this study, these include reliability and hazard functions, moments, quantile function, random number generation, skewness, and kurtosis. The maximum likelihood estimators for the model parameters of the two proposed models are also derived along with the asymptotic confidence intervals. Two real data sets in communication systems and clinical trials are analyzed to illustrate the concept of the proposed extensions. The results demonstrated that the proposed extensions showed better fitting than other extensions and competing models.
Green distributed algorithm for energy saving in IP wired networks using sleep scheduling
Authors: Hussein Mohammed , Alabbasi Wisam , Alsadeh Ahmad
Published: August 2021

Energy saving has become a critical issue and a great challenge in the past few decades, and a great effort as well is being made to reduce consumed energy. The Internet forms a major source for energy consumption. Therefore, in this work we propose an algorithm for energy saving in distributed backbone networks, the reduced energy consumption (RedCon) algorithm. In this paper, we introduce a new version for saving energy on the Internet by switching off underutilized links and switching on idle links when the network is overloaded in a distributed manner over the network nodes based on LSA messages and without any knowledge of the traffic matrix. Our algorithm is more accurate and outperforms other algorithms with its time checks and advanced learning algorithm.
Smart information desk system with voice assistant for universities
Authors: Alboaneen Dabiah , Alsaffar Dalia , Alqahtani Amani , Alamri Lama , Alfahhad Amjad , Alqahtani Bashaier , Alateeq Alyah , Alamri Rahaf , Almohammedsaleh Fatimah
Published: August 2021

This article aims to develop a smart information desk system through a smart mirror for universities. It is a mirror with extra capabilities of displaying answers for academic inquiries such as asking about the lecturers’ office numbers and hours, exams dates and times on the mirror surface. In addition, the voice recognition feature was used to answer spoken inquiries in audio responds to serve all types of users including disabled ones. Furthermore, the system showed general information such as date, weather, time and the university map. The smart mirror was connected to an outdoor camera to monitor the traffics at the university entrance gate. The system was implemented on a Raspberry Pi 4 model B connected to a two-way mirror and an infrared (IR) touch frame. The results of this study helped to overcome the problem of the information desk absence in the university. Therefore, it helped users to save their time and effort in making requests for important academic information.
A novel optimal small cells deployment for next-generation cellular networks
Authors: Al-Shareefi Nael A. , Sakran Ammar AbdRaba
Published: August 2021

Small-cell-deployments have pulled cellular operators to boost coverage and capacity in high-demand areas (for example, downtown hot spots). The location of these small cells (SCs) should be determined in order to achieve successful deployments. In this paper, we propose a new approach that optimizes small cells deployment in cellular networks to achieve three objectives: reduce the total cost of network installation, balancing the allocation of resources, i.e. placement of each SC and their transmitted power, and providing optimal coverage area with a lower amount of interference between adjacent stations. An accurate formula was obtained to determine the optimum number of SC deployment (NSC). Finally, we derive a mathematical expression to calculate the critical-handoff-point (CHP) for neighboring wireless stations.
An adaptive multi-hop routing with IoT abstraction for minimizing delay-node capacity trade-offs in mobile ad-hoc network
Authors: Chasib Haitham Shiaibth , Salih Saddam Raheem , Al-Ogaili Israa Jaber Khalaf
Published: August 2021

Delay and node capacity are incompatible mobile ad hoc constraints because of the network's versatility and self-disciplined design. It is a challenging problem to maximize the trade-off between the above mobility correlation factors. This manuscript proposes an adaptive multi-hop routing (A.M.R.) for mobile ad-hoc network (MANET) to minimize the trade-off by integrating the internet of things (IoT). IoT nodes' smart computing and offloading abilities are extended to ad-hoc nodes to improve routing and transmission. Dor MANET nodes in route exploration, neighbor selection, and data transmission, the beneficial features of IoT include enhanced decision making. The traditional routing protocols use IoT at the time of the neighbor discovery process in updating the routing table and localization. The harmonizing technologies with their extended support improve the performance of MANETs has been estimated. The proposed method achieves better throughput (14.16 Mbps), delay (0.118), packet drop (126), and overhead (36 packets) when compared to existing methods.
A case study of using the hybrid model of scrum and six sigma in software development
Authors: Sarpiri Mona Najafi , Gandomani Taghi Javdani
Published: August 2021

The world of software engineering is constantly discovering new ways that lead to an increase in team performance in the production of software products and, at the same time, brings the customer's further satisfaction. With the advent of agile methodologies in software development, these objectives have been considered more seriously by software teams and companies. Due to their very nature, agile methodologies have the potential to be integrated with other methodologies or specific managerial approaches defined in line with agility objectives. One of the cases is Six Sigma, which is used in organizations by focusing on organizational change and process improvement. In the present study, attempts were made to present the hybrid software development approach, including Scrum, as the most common agile and Six Sigma methodology. This approach was practically used in a case study, and the obtained results were analyzed. The results of this evaluation showed that this hybrid method could lead to the increased team performance and customer satisfaction. However, besides these two achievements, an increase in the number of re-works, number of defects discovered, and the duration of the project implementation were also observed. These cases are in line with the main objectives of Scrum and Six Sigma and are justifiable and acceptable due to achieving those objectives.
Forecasting model with machine learning in higher education ICFES exams
Authors: Martínez Cervera Daniel Esteban , Salcedo Parra Octavio José , Aguilera Prado Marco Antonio
Published: August 2021

In this paper, we proposed to make different forecasting models in the University education through the algorithms K-means, K-closest neighbor, neural network, and naïve Bayes, which apply to specific exams of engineering, licensed and scientific mathematical thinking in Saber Pro of Colombia. ICFES Saber Pro is an exam required for the degree of all students who carry out undergraduate programs in higher education. The Colombian government regulated this exam in 2009 in the decree 3963 intending to verify the development of competencies, knowledge level, and quality of the programs and institutions. The objective is to use data to convert into information, search patterns, and select the best variables and harness the potential of data (average 650.000 data per semester). The study has found that the combination of features was: women have greater participation (68%) in Mathematics, Engineering, and Teaching careers, the urban area continues to be the preferred place to apply for higher studies (94%), Internet use increased by 50% in the last year, the support of the family nucleus is still relevant for the support in the formation of the children.
Natural language processing based advanced method of unnecessary video detection
Authors: Moon Nazmun Nessa , Salehin Imrus , Parvin Masuma , Hasan Md. Mehedi , Talha Iftakhar Mohammad , Debnath Susanta Chandra , Nur Fernaz Narin , Saifuzzaman Mohd.
Published: August 2021

In this study we have described the process of identifying unnecessary video using an advanced combined method of natural language processing and machine learning. The system also includes a framework that contains analytics databases and which helps to find statistical accuracy and can detect, accept or reject unnecessary and unethical video content. In our video detection system, we extract text data from video content in two steps, first from video to MPEG-1 audio layer 3 (MP3) and then from MP3 to WAV format. We have used the text part of natural language processing to analyze and prepare the data set. We use both Naive Bayes and logistic regression classification algorithms in this detection system to determine the best accuracy for our system. In our research, our video MP4 data has converted to plain text data using the python advance library function. This brief study discusses the identification of unauthorized, unsocial, unnecessary, unfinished, and malicious videos when using oral video record data. By analyzing our data sets through this advanced model, we can decide which videos should be accepted or rejected for the further actions.
Image multi-level-thresholding with Mayfly optimization
Authors: Kadry Seifedine , Rajinikanth Venkatesan , Koo Jamin , Kang Byeong-Gwon
Published: August 2021

Image thresholding is a well approved pre-processing methodology and enhancing the image information based on a chosen threshold is always preferred. This research implements the mayfly optimization algorithm (MOA) based image multi-level-thresholding on a class of benchmark images of dimension 512x512x1. The MOA is a novel methodology with the algorithm phases, such as; i) Initialization, ii) Exploration with male-mayfly (MM), iii) Exploration with female-mayfly (FM), iv) Offspring generation and, v) Termination. This algorithm implements a strict two-step search procedure, in which every Mayfly is forced to attain the global best solution. The proposed research considers the threshold value from 2 to 5 and the superiority of the result is confirmed by computing the essential Image quality measures (IQM). The performance of MOA is also compared and validated against the other procedures, such as particle-swarm-optimization (PSO), bacterial foraging optimization(BFO), firefly-algorithm(FA), bat algorithm (BA), cuckoo search(CS) and moth-flame optimization (MFO) and the attained p-value of Wilcoxon rank test confirmed the superiority of the MOA compared with other algorithms considered in this work
Emotion recognition from syllabic units using k-nearest-neighbor classification and energy distribution
Authors: Agrima Abdellah , Mounir Ilham , Farchi Abdelmajid , Elmaazouzi Laila , Mounir Badia
Published: August 2021

In this article, we present an automatic technique for recognizing emotional states from speech signals. The main focus of this paper is to present an efficient and reduced set of acoustic features that allows us to recognize the four basic human emotions (anger, sadness, joy, and neutral). The proposed features vector is composed by twenty-eight measurements corresponding to standard acoustic features such as formants, fundamental frequency (obtained by Praat software) as well as introducing new features based on the calculation of the energies in some specific frequency bands and their distributions (thanks to MATLAB codes). The extracted measurements are obtained from syllabic units’ consonant/vowel (CV) derived from Moroccan Arabic dialect emotional database (MADED) corpus. Thereafter, the data which has been collected is then trained by a k-nearest-neighbor (KNN) classifier to perform the automated recognition phase. The results reach 64.65% in the multi-class classification and 94.95% for classification between positive and negative emotions.
A hybrid deep learning approach towards building an intelligent system for pneumonia detection in chest X-ray images
Authors: S. Masad Ihssan , Alqudah Amin , Alqudah Ali Mohammad , Almashaqbeh Sami
Published: August 2021

Pneumonia is a major cause for the death of children. In order to overcome the subjectivity and time consumption of the traditional detection of pneumonia from chest X-ray images; this work hypothesized that a hybrid deep learning system that consists of a convolutional neural network (CNN) model with another type of classifiers will improve the performance of the detection system. Three types of classifiers (support vector machine (SVM), k-nearest neighbor (KNN), and random forest (RF) were used along with the traditional CNN classification system (Softmax) to automatically detect pneumonia from chest X-ray images. The performance of the hybrid systems was comparable to that of the traditional CNN model with Softmax in terms of accuracy, precision, and specificity; except for the RF hybrid system which had less performance than the others. On the other hand, KNN hybrid system had the best consumption time, followed by the SVM, Softmax, and lastly the RF system. However, this improvement in consumption time (up to 4 folds) was in the expense of the sensitivity. A new hybrid artificial intelligence methodology for pneumonia detection has been implemented using small-sized chest X-ray images. The novel system achieved a very efficient performance with a short classification consumption time.
Physical and psychological violence in dating with stress among adolescents during the COVID-19 pandemic
Authors: Ayu Suci Musvita , Sofiana Liena , Sabrina Nurul Karina
Published: August 2021

Currently, the juvenile delinquency trend is still very high. Dating violence (DV) is one of the delinquencies that teenagers often commit. DV has negative impacts in the form of physical and psychological impacts. Physical impacts can include bruises, fractures. Meanwhile, the psychological impact can be a the form of depression, stress, anxiety, and sleep problems. This study aimed to analyze the relationship between physical and psychological violence in dating stress adolescents. This study used a cross-sectional design. Sample of this study was 314 students (15-19 years) in Bantul chosen through a purposive sampling technique. Data analysis was using multiple logistic regressions. The results showed that there was a significant relationship towards stress, namely gender (p-value=0.050), physical violence (p-value=0.000), and psychological violence (p-value=0.000). Age (p-value=0.653) and parents' income (p-value=0.100) had no significant relationship to stress. Psychological violence variable (p-value=0.000; OR=6.285, 95%; CI=3.683-10.726) was the most dominant in triggering stress in adolescents. So, there were relationships between gender, physical and psychological violence in dating with the incidence of stress among adolescents in Bantul Regency, Yogyakarta, Indonesia during the COVID-19 pandemic.
Factors related to road accidents in Palembang, South Sumatera, Indonesia
Authors: Andarini Desheila , Camelia Anita , Ibrahim Mochammad Malik
Published: August 2021

Road traffic injuries are a major public health problem and a leading cause of death and injury worldwide. More than 90% of all road deaths occur in lowand middle-income countries, which own less than half of the world's vehicles. The research aimed was to identify the factors related to road accidents in Palembang, Indonesia. The research method used was qualitative approach by using in-depth interviews and observation. This research was conducted from August to December, 2019. The results showed that the factors related to road accidents were human factor, environmental and climatic factor. From this research, the working areas identified as accidentprone zone were Sukarami II and Ilir Barat I Police Station. Referring to the accident and interviews, it is known that the road locations that have the highest casualties were in the road of Kolonel H. Barlian, Jendral Sudirman, Demang Lebar Daun, Ahmad Yani, and Soekarno Hatta. The conclusion was the accident-prone zone located on the main arterial road in Palembang City, Jendral Sudirman Road with a total of 81 cases of traffic accidents in the last three years that need further investigation to minimize traffic injury.
The antihyperlipidaemic and hepatoprotective effect of Ipomoea batatas L. leaves extract in high-fat diet rats
Authors: Mahfudh Nurkhasanah , Sulistyani Nanik , Syakbani Muhammad , Dewi Athifah Candra
Published: August 2021

The administration of high-fat diets can increase the body's lipid level and damage the organs. Purple sweet potato leaf (Ipomoea batatas L.) was reported as an antioxidant against free radicals. This study aimed to observe the sweet potato leaf extract's activity on decreasing lipid profile and hepatoprotective effect in high-fat diet fed rats. The treatment animals were divided into five groups, namely normal control, high-fat diet (HFD) control, the treatment group of purple sweet potato leaf extract (SPLE) doses 100 mg/kg BW, 200 mg/kg BW and 400 mg/kg BW which fed with high-fat diet for 14 days and SPLE for 28 days. After treatment was completed, the blood was collected for the detection of cholesterol, triglyceride, serum glutamic oxaloacetic transaminase (SGOT), and serum glutamic pyruvate transaminase (SGPT). After that, the animals were sacrificed, and a liver histopathology observation was conducted using Haematoxylien and Eosin staining. The result showed a significant decrease in cholesterol and triglyceride levels (p≤0.05) compared to the negative group in all treated groups. The SGOT and SGPT enzymes in all of treatment groups were also found to decrease compared with HFD control. The result was confirmed by the histopathological observations. The finding suggested the potency of SPLE for antihyperlipidaemic and hepatoprotective agent.