bluuebunny/crossref_metadata_2025 huggingface dataset:
The contribution of the characteristics of environmentally friendly products to enhancing the mental status an exploratory study of the opinions of a sample of clients who are agents of mineral water companies in the city center of Kirkuk
Authors: Waad Allah Hussein Raad Y. , Omeer abbas Jarjes
Published: August 2022

The research aims to know the extent to which the characteristics of environmentally friendly products contribute to enhancing the mental status of customers. An exploratory study of the opinions of a sample of customers in mineral water companies in the city center of Kirkuk. A sample of (120) customers was selected. A questionnaire was adopted to obtain the data and several statistical methods were used, including the approach descriptive data analysis and extraction of results using the statistical program SPSS. The research reached the existence of a significant correlation between the characteristics of environmentally friendly products and the mental status at the total level. The research suggestion that the organization in question should take into account the great interest in environmentally friendly products in the labor market at the present time, especially that the modern trend now is an orientation towards the environment, so it is necessary to enhance the value of environmentally friendly products in the minds of customers.
The impact of customer experience in achieving continuous improvement, an exploratory study in a number of private banks in the governorate of Dohuk
Authors: Nouri Hala Dhnoon Nouri , Khalil Laila Jarallah
Published: August 2022

The aim of the research deals with identifying the impact of the customer’s experience in achieving continuous improvement. The research objective deals with a group of leading organizations in the field of providing banking services and facilities to the beneficiaries, and a number of Dohuk banks were selected, as the research sample amounted to (40) male and female employees in the surveyed banks. The descriptive and analytical approach was reached, and a number of conclusions were reached, the most important of which is the customer experience, an important role in encouraging banks to benefit from customers' experiences in improving the quality of services they provide.
The smart customer contribution to promoting creativity in the marketing mix: An exploratory study of the opinions of a sample of customers and employees of private banks in Nineveh Governorate
Authors: Othman Nashwan Hashem , AL-hamadani Alaa Abdel Salam AL-hamadani
Published: August 2022

The research aims to show the role of the smart customer in promoting creativity in the marketing mix and the extent to which the surveyed institutions adopt the concept of the smart customer and to measure the extent of the influence and interrelationship of the smart customer in creativity with the marketing mix. A sample of (100) clients and (100) employees were selected from private banks operating in Nineveh Governorate. Statistical methods, including the descriptive approach, were used to analyze the data and extract the results using the SPSS V26 statistical program. The research reached a set of conclusions, the most important of which is the existence of a correlation and a statistically significant effect between the independent variable, the smart customer, the dependent variable, and creativity in the marketing mix. Outperform competitors in the market through continuous innovation in the services provided and the methods of providing your services.
The impact of management information systems on improving employee performance A case study in the Financial and Administrative Department / Ministry of Higher Education and Scientific Research
Authors: Hussein Sakr Hussein Abdel , Jaber Muhammed Muhammed
Published: August 2022

The study indicated the importance of measuring the impact of management information systems on the performance of employees in the administrative and financial department. Where the size of the study population (203) was chosen from different employees. In addition, the surveys were sent out to various levels of management. The sample for the study was selected using a snowball method, as described by the researchers. There was a total of 57 surveys sent out, but only 55 valid responses.The importance of research lies in the fact that information systems are of particular importance in light of the information and communication revolution, as modern information systems have turned out to be one of the most important sources of technology. The main research problem appears within the scope of the researchers’ observation, bearing in mind that one of the researchers is among the workforce in the Ministry of Higher Education and Scientific Research. Specifically, this study aims to address the following question: How widespread is the usage of management information systems in the Iraqi Ministry of Higher Education? The results showed a statistically significant influence of the gadgets' efficacy on the productivity of staff at the Iraqi Ministry of Higher Education. Data about cutting-edge software systems Resources (both human and technological), knowledge, and skill. The effectiveness of the databases, usability, and systems used by the Iraqi Ministry of Higher Education.After taking into account all of these factors, the researchers came to the conclusion that the Iraqi Ministry of Education should prioritize improving the effectiveness of its technology and programmers. This recommendation is in line with the fundamental needs of managing contemporary information systems and accounts for the use of Internet and Intranet-based communication technologies. Within this context, the Iraqi Ministry of Higher Education
The First Petrographic Textural Data of Sferulitic Rhyolites Observed in the west of İdrisyayla (Kırka-Eskişehir)
Authors: YÜCEL ÖZTÜRK Yeşim , AKAL Cüneyt
Published: August 2022

Spherulitic structures are classically defined as concentrically zoned crystal clusters that form in igneous systems (especially in alkaline igneous rocks), and usually occur as different mineral layers or shells.

The volcano-sedimentary series observed in the Kırka region, south of Eskişehir, within the Kırka-Afyon-Isparta Volcanic Province, Western Anatolia, consists predominantly of Lower Miocene volcanic and pyroclastic sequences with rhyodacitic-rhyolitic in composition, lacustrine limestones, borate-bearing claystones, tuff, stromatolitic limestones and basalts. The formation mechanisms of the spherulitic structures observed in the marginal zone of the sub-alkaline rhyolitic lava dome outcropping within the Neogene series in the west of İdrisyayla in Kırka (Eskişehir) region were described for the first time with this study. The rhyolites are grayish light brown in color, have hypocrystalline hyalopilitic-holohyaline texture and present spherical structures defined as spherulites. These rocks present a completely flowing structure and are composed of volcanic glass containing rarely euhedral plagioclase and quartz microcrystals, The spherical structures observed on the surface of the rhyolites are up to 10-15 cm in size. The spherulites, which are almost round in shape, appear as concentric rings within the lava flow bands. The flow band texture of the volcanic glass phase presents continuity in the inner texture of the spherulitic structures.

This study suggests that the sferulitic structures in the İdrisyayla (Kırka-Eskişehir) region were formed by the devitrification mechanism as a result of high temperature and rapid cooling. The petro-mineralogical features of the spherulitic rhyolites show that during the early magmatic stage, the oversaturated liquid crystallized in silica-rich fluid phases of relatively different densities, and radial quartz-feldspar crystal growths from a center, caused the formation of the spherulitic structure. It is also suggested that the lithophysae-like structures formed by the crystal growths representing the solid phase in the axial cavities due to the locally folding of the flow bands and the following radial mineral growths representing the liquid phase, were also changed the laminated texture in the marginal phase of the rhyolite.
DeepStruc: Towards structure solution from pair distribution function data using deep generative models
Authors: Kjær Emil Thyge Skanning , Anker Andy Sode , Weng Marcus Nørgaard , Billinge Simon J. L. , Selvan Raghavendra , Jensen Kirsten Marie Ørnsbjerg
Published: August 2022

Structure solution of nanostructured materials that have limited long-range remains a bottleneck in materials development. We present a deep learning algorithm, DeepStruc, that can solve a simple nanoparticle structure directly from a Pair Distribution Function obtained from total scattering data by using a conditional variational autoencoder (CVAE). We first apply DeepStruc to PDFs from seven different structure types of monometallic nanoparticles, and show that structures can be solved from both simulated and experimental PDFs, including PDFs from nanoparticles that are not present in the training distribution. We also apply DeepStruc to a system of hcp, fcc and stacking faulted nanoparticles, where DeepStruc recognizes stacking faulted nanoparticles as an interpolation between hcp and fcc nanoparticles and is able to solve stacking faulted structures from PDFs. Our findings suggests that DeepStruc is a step towards a general approach for structure solution of nanomaterials.
Suspended phospholipid bilayers: a new biological membrane mimetic
Authors: Ayscough Sophie , Skoda Maximilian , Clifton Luke , Titmuss Simon
Published: August 2022

Hypothesis: The attractive interaction between a cationic surfactant monolayer at the air-water interface and vesicles, incorporating anionic lipids, is sufficient to drive the adsorption and deformation of the vesicles. Osmotic rupture of the vesicles produces a continuous lipid bilayer beneath the monolayer. Experimental: Specular neutron reflectivity has been measured from the surface of a purpose-built laminar flow trough, which allows for rapid adsorption of vesicles, the changes in salt concentration required for osmotic rupture of the adsorbed vesicles into a bilayer, and for neutron contrast variation of the sub-phase without disturbing the monolayer. Findings: The neutron reflectivity profiles measured after vesicle addition are consistent with the adsorption and flattening of the vesicles beneath the monolayer. An increase in the buffer salt concentration results in further flattening and fusion of the adsorbed vesicles, which are ruptured by a subsequent decrease in the salt concentration. This process results in a continuous, high coverage, bilayer suspended 11A beneath the monolayer. As the bilayer is not constrained by a solid substrate, this new mimetic is well-suited to studying the structure of lipid bilayers that include transmembrane proteins.
Improved recovery of captured airborne bacteria and viruses with liquid-coated air filters
Authors: Regan Daniel P , Fong ChunKi , Bond Avery CS , Desjardins Claudia , Hardcastle Justin , Hung Shao-Hsiang , Holmes Andrew P , Schiffman Jessica D , Maginnis Melissa S , Howell Caitlin
Published: August 2022

The COVID-19 pandemic has revealed the importance of the detection of airborne pathogens. Here, we present composite air filters featuring a bio-inspired liquid coating that facilitates the removal of captured aerosolized bacteria and viruses for further analysis. We tested three types of air filters: commercial polytetrafluoroethylene (PTFE), which is well-known for creating stable liquid coatings, commercial high-efficiency particulate air (HEPA) filters, which are widely used, and in-house manufactured cellulose nanofiber mats (CNFM), which are made from sustainable materials. All filters were coated with omniphobic fluorinated liquid to maximize release. We found that coating both the PTFE and HEPA filters with liquid improved the rate at which Escherichia coli was recovered using a physical removal process compared to uncoated controls. Notably, the coated HEPA filters also increased the total number of recovered cells by 57%. Coating the CNFM filters did not improve either the rate of release or total number of captured cells. The ability of the highest performance materials, the liquid-coated HEPA filters were next evaluated on their ability to facilitate the removal of pathogenic viruses via a chemical removal process. Recovery of infectious JC polyomavirus, a non-enveloped virus which attacks the central nervous system, was increased by 92% over uncoated controls; however, there was no significant difference in the total amount of RNA recovered compared to controls. In contrast, significantly more RNA was recovered for SARS-CoV-2, the airborne, enveloped virus which causes COVID-19, from liquid-coated filters. Although the amount of infectious SARS-CoV-2 recovered was 58% higher, these results were not significantly different from uncoated filters due to high variability. These results suggest that the efficient recovery of airborne pathogens from filters could improve air sampling efforts, enhancing biosurveillance and global pathogen early warning.
Si-based Composite Anode for Li-ion Batteries with Enhanced Cycle Stability via Doping Cu3Si Phase Achieved by Modified Coating of PDA
Authors: Zhang Xingyu_Polyu , Li Ying , Zheng Tianye , Zhou Ruitao , Lam Kwok Ho
Published: August 2022

Silicon (Si) is a promising anode material for Li-ion batteries but its application is limited due to its severe volume change during the lithiation/delithiation process, leading to a fast degradation of cycle performance. Applying transition metals to dope into the bulk Si forming active/inactive silicide phase is proved as an effective and practical method to solve the issue. However, the classic high-energy ball milling method is faced with the challenges of strict requirements to the machine, long-time working and difficulty to control the morphology of the product. Aiming to this point, the present study proposes a facile and “softer” method via coating the polydopamine (PDA) with the assistance of CuCl2·2H2O followed by a high-temperature annealing process to successfully fabricate the Si-based anode material with a unique structure of Si-Cu3Si@c-PDA. We firstly achieved the doping of Cu3Si and the coating of carbon layer simultaneously on the surface of Si. Owing to the synergistic effect of carbonized PDA layer and doped Cu3Si phase, both structural stability and electronic conductivity of electrode have been significantly enhanced. The Si-Cu3Si@c-PDA composite anode not only exhibited a high initial reversible capacity of 2356.7 mAh·g-1 with an initial coulombic efficiency of 83.6%, but also demonstrated a good capacity retention of 89.7% after 100 cycles at the current density of 400 mA·g-1. We believe this work would pave a novel way to improve the Si-based anode material.
Green Human Resources Management Practices and Employees’ Performance and Outcomes. (c2022)
Authors:   ,   Lebanese American University, Hussaynovitch Rana
Published: August 2022

Although many recent research studies have addressed Green Human Resources Management (GHRM), the extent literature lacks theoretical, empirical, and methodological systematization. That is, not all GHRM practices are tackled systematically and collectively while covering such an extensive topic. This thesis aims to show the importance of integrating GHRM practices into HR policies and procedures, determine the antecedents of GRHM, and examine how GHRM could enhance employees’ outcomes and improve business performance as well as environmental sustainability. Additionally, and most importantly, this thesis aims to assess empirical evidence from previous literature linking determinants of GHRM with employee and organizational outcomes through GRHM practices. To understand how GHRM practices can be promoted and how they impact favorable employee and organizational outcomes, a systematic literature review on previous evidence-based literature related to this topic has been conducted. The findings show the underlying mechanism linking GHRM to its antecedents, outcomes, and boundaries, as well as suggest future research.
Deep Reinforcement Learning for Resource Constrained HLS Scheduling. Rim Makhoul. (c2022)
Authors:   ,   Lebanese American University, Makhoul Rim
Published: August 2022

High-level synthesis (HLS) scheduling, an NP-hard problem, is a process that auto-mates VLSI design and is a very important step in silicon compilation. HLS takes as input a behavioral description of a system with a set of constraints and outputs an RTL description of a digital system. The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. The actions and rewards for the proposed algorithm are selected carefully to guide the agent to its objective. We used a deep neural network to train the agent and in order to learn the the Q-values. The results of this work are compared to other state-of-the-art algorithms and are proven to be very effective and promising.
Multiple Site-Specific Analyses of the Stability of Quarried Slopes in Lebanon Based on Unmanned Aerial Vehicle Photogrammetry. (c2022)
Authors:   ,   Lebanese American University, Solh Saad Allah
Published: August 2022

Landslide hazards associated with the quarrying sector in Lebanon are a source of public concern due to the adverse environmental and social impacts imposed by illegal quarrying activities. Such activities have been leading to direct threats to human lives and property damage. Regional landslide hazard and risk maps have been developed based on a multi-model analysis performed through the framework of a Geographic Information System (GIS) software using a 15-meter digital elevation model (DEM) by Grant et al. (2016) and Pollock et al. (2019) and their accuracy was validated for natural terrain. The use of these maps for stability assessment of quarry locations was examined by Kaafarani (2020) and was found to be limited because of the steepness of these man-made slopes and the inability of the 15-meter DEM to capture the real topography. The aim of this work is to determine, from multiple site-specific analyses, the most probable mode(s) of failure of such steep rock slopes and to assess the extent to which a failure may impact the surrounding urbanized zones. Remote sensing using Unmanned Aerial Vehicle (UAV) photogrammetry was used to map four limestone quarries located in the Anti-Lebanon Mountain Range. The stability of the studied quarries controlled by geometry and strength of the discontinuities was first evaluated kinematically and then analysed using limit equilibrium methods under dry, rainfall, and seismic conditions. The overall stability of the quarries was also assessed based on the geological strength index (GSI) classification and the rock mass geomechanical properties were based on the generalized Hoek- Brown constants. Risk of block failure along discontinuities was observed and wedge sliding, in particular, had the highest probability of occurrence. The maximum runout distance obtained was less than 9 meters in all sites. The results did not show risk of general failure in any of the four quarries. The outcome of this study can be used to update the regional-scale maps by refining the analysis in quarry locations, to develop strict regulations for future quarrying operations, and to implement a mitigation plan that protected further urbanization projects in areas near dormant and abandoned quarry sites.
Development of Algorithm for Calculating Data Packet Transmission Delay in Software-Defined Networks
Authors: Alexandrov Islam , Tatarkanov Aslan , Kuklin Vladimir , Mikhailov Maxim
Published: August 2022

The relevance of this type of network is associated with the development and improvement of protocols, methods, and tools to verify routing policies and algorithmic models describing various aspects of SDN, which determined the purpose of this study. The main purpose of this work is to develop specialized methods to estimate the maximum end-to-end delay during packet transmission using SDN infrastructure. The methods of network calculus theory are used to build a model for estimating the maximum transmission delay of a data packet. The basis for this theory is obtaining deterministic evaluations by analyzing the best and worst-case scenarios for individual parts of the network and then optimally combining the best ones. It was found that the developed method of theoretical evaluation demonstrates high accuracy. Consequently, it is shown that the developed algorithm can estimate SND performance. It is possible to conclude the configuration optimality of elements in the network by comparing the different possible configurations. Furthermore, the proposed algorithm for calculating the upper estimate for packet transmission delay can reduce network maintenance costs by detecting inconsistencies between network equipment settings and requirements. The scientific novelty of these results is that it became possible to calculate the achievable upper data delay in polynomial time even in the case of arbitrary tree topologies, but not only when the network handlers are located in tandem. Doi: 10.28991/ESJ-2022-06-05-010 Full Text: PDF
Comparison of Machine Learning Approach for Waste Bottle Classification
Authors: Fadlil Abdul , Umar Rusydi , Sunardi . , Nugroho Arief Setyo
Published: August 2022

The use of machine learning for the image classification process is growing all the time. Many methods can be used to classify an image with good accuracy. Convolutional Neural Network (CNN) and Support Vector Machine (SVM) are popular methods for this case. The two approaches have differences in the data training process to achieve classification objectives. Although there are some differences between these approaches, there are some advantages to both of them. This research explores the comparison of the two CNN and SVM methods by comparing the training process carried out and the accuracy results of the classification. The process stages are divided into pre-processing, training, and testing. The objects used are ten waste plastic bottles with different brands of medium size with a total data of 1100 images. Based on the observations, both methods have advantages and disadvantages in the data training and classification process. However, from the results, CNN's accuracy is better than SVM. The accuracy of both networks is 99% for CNN and 74% for SVM, respectively. So, from the results of experiments that have been carried out in the study, it was found that CNN was still better than SVM. Doi: 10.28991/ESJ-2022-06-05-011 Full Text: PDF
Detection Sensitivity of a Modified EWMA Control Chart with a Time Series Model with Fractionality and Integration
Authors: Phanthuna Piyatida , Areepong Yupaporn
Published: August 2022

Among the many statistical process control charts, the modified exponentially weighted moving average (EWMA) control chart has been designed to swiftly detect a small shift in a process parameter. Herein, we propose two explicit formulas for the average run length (ARL) for integrated moving average (IMA) and fractional integrated moving average (FIMA) models combined with the modified EWMA control chart for time series prediction. The application of the suggested control chart procedures depends on the residuals of the IMA and FIMA models. The performance of the control chart with both models is evaluated by using the ARL. Explicit formulas for the ARL for the two models with the modified EWMA statistic are derived and their precision is compared with the numerical integral equation method. The explicit formulas could accurately predict the true ARL while markedly decreasing the computational processing time compared to the numerical integration method. The capabilities of the IMA and FIMA models with the modified EWMA control chart were studied by varying g times the last term and exponential smoothing parameter λ, with the relative mean index being used to evaluate these situations. The results show that the modified EWMA control chart with either model performed better than the original EWMA control chart. Furthermore, the modified EWMA control chart with either model was highly efficient when g increased and λ was small. Two applications involving energy commodity prices are used to illustrate the efficacies of the proposed approaches, the results of which were in accordance with the experimental study. Doi: 10.28991/ESJ-2022-06-05-015 Full Text: PDF
Static Elastic Bending Analysis of a Three-Dimensional Clamped Thick Rectangular Plate using Energy Method
Authors: Onyeka F. C. , Okeke T. E. , Mama B. O.
Published: August 2022

Analytical formulations and solutions for the thick rectangular plate static analysis with clamped support based on a three-dimensional (3-D) elasticity theory is developed using the energy method. The theoretical model, whose formulation is based on the static elastic principle as already reported in the literature, is presented herein to obviate the shear correction coefficients while considering shear deformation effect and transverse normal strain/stress in the analysis. The equilibrium equations are obtained using 3-D kinematic and constitutive relations. The deflection and rotation functions, which are the solutions of the equilibrium equation, are obtained in closed form using a general variational technique for solving the boundary value problem. The minimization energy equation yields the general equation which was used to obtain the theoretical model for the deflection and stresses of the plate. The results are compared with the available literature and the results-computed trigonometric displacement function shows that this 3-D predicts the vertical displacement and the stresses more accurately than previous studies considered in this paper. The result showed that the percentage difference between the present work and those of 2-D Mindlin FSDT, 2-D numeric analysis, and 2-D HSDT of polynomial shape functions was about 3.02%, 0.62%, and 0.33%, respectively. It is concluded that the 3-D trigonometric model gives an exact solution, unlike other 2-D theories, and can be used for clamped-supported thick plate analysis. Doi: 10.28991/HIJ-2022-03-03-03 Full Text: PDF
Genome rearrangements in neurodevelopmental disorders of the central nervous system: origins, genomic mechanisms, functional and clinical consequences. Review article
Authors: Kučinskas V. , Preikšaitienė E. , Ambrozaitytė L. , Cimbalistienė L. , Utkus A.
Published: August 2022

Intellectual disability affects about 1-2% of the general population worldwide, and this is the leading socio-economic problem of the healthcare system. Reasearch into the genetic causes of intellectual disability is challenging because these conditions are genetically heterogeneous with many different genetic alterations resulting in clinically indistinguishable phenotypes. Extensive molecular technologies are being used in research to determine the genetic causes of these conditions. In our research, the detection of chromosomal aberrations by molecular karyotyping and whole exome sequencing capable of uncovering pathogenic variants in any of the human genes were the main technologies used to identify the molecular causes of intellectual disability. Collaboration with foreign scientific institutions for further clinical, molecular and functional investigations of rare causes of intellectual disability has allowed the characterisation of rare known and new syndromes. We believe that new insights into the molecular causes and pathogenesis mechanisms of the intellectual disability may be useful in developing treatment options in the future.
STEM Librarians and the Future of Scholarly Publishing: Scholarly Communication Concepts that Researchers Need
Authors: Pacion Kelee , Radik Melanie , Duong Khue , Martinez Jessica , Bogucka Roxanne
Published: August 2022

This narrative reflection describes how five librarians developed a scholarly communication workshop intended for a specific conference with an audience of science researchers, then proceeded to modify it to fulfill different professional development opportunities. We explored themes around open access, the current and future landscape of scholarly publishing, and the deciding factors for researchers when choosing a journal to submit papers to. Identifying further venues for the workshop and submitting formal and informal proposals leveraged our knowledge of our own professional associations and what might appeal to those audiences.
Tree of Science - ToS: A Web-Based Tool for Scientific Literature Recommendation. Search Less, Research More!
Authors: Zuluaga Martha , Robledo Sebastian , Arbelaez-Echeverri Oscar , Osorio-Zuluaga German A. , Duque-Méndez Nestor
Published: August 2022

Tree of Science (ToS) is an integrated web-based platform for a comprehensive analysis of scientific literature. ToS is designed to facilitate finding relevant literature and can be used by students, researchers, and academics. Based on graph theory metrics, this tool visualizes the works in a knowledge field as a tree where the roots are classic articles, the trunk represents those articles that allow the area to grow, and the leaves are the recently published articles. This article provides a description of how to search, format, and upload the data and identify significant literature in a specific research area. Finally, a brief description of how the Tree of Science works.
PREDIKSI MASA STUDI MAHASISWA MATEMATIKA IPB BERDASARKAN INDEKS PRESTASI KUMULATIF MENGGUNAKAN JARINGAN SYARAF TIRUAN
Authors: Nurdiati Sri , Bukhari Fahren , Najib Mohamad Khoirun , Hilmi Kautsar
Published: August 2022

Akreditasi sebuah program studi sangat dipengaruhi oleh masa studi dan Indeks Prestasi Kumulatif (IPK) lulusannya. Beberapa penelitian menunjukkan adanya keterkaitan antara kelulusan dengan IPK mahasiswa. Namun, model prediksi lama masa studi berdasarkan IPK masih sedikit. Oleh karena itu, penelitian ini bertujuan untuk memprediksi masa studi mahasiswa berdasarkan IPK menggunakan model jaringan syaraf tiruan (JST) berbasis backpropagation. Beberapa fungsi pelatihan diterapkan, meliputi gradient descent, Nesterov accelerated gradient descent, Adaptive moment estimation (Adam), dan Nesterov Adam (Nadam). Data yang digunakan dalam penelitian ini adalah data masa studi dan IPK semester 1-6 mahasiswa S1 Matematika IPB. Hasil penelitian menunjukkan bahwa model JST terbaik dihasilkan oleh jaringan dengan jumlah input node 6 yang dinormalisasi dengan batch normalization (BatchNorm), hidden node 10 dan output node 1. Parameter jaringan terbaik diperoleh dari percobaan menggunakan fungsi pelatihan gradient descent dan laju pembelajaran 0.5 dengan MAE sebesar 1.887 pada data testing. Fungsi pelatihan gradient descent memperlihatkan adanya penurunan nilai MAE ketika nilai laju pembelajaran meningkat. Sementara itu, pada fungsi pelatihan lainnya, terdapat tren bahwa semakin kecil nilai laju pembelajaran maka semakin kecil pula nilai MAE yang dihasilkan. Berdasarkan model JST terpilih, nilai IPK yang paling berpengaruh pada masa studi mahasiswa matematika IPB adalah nilai IPK pada semester 3, yaitu masa mahasiswa matematika IPB pertama kali menerima mata kuliah mayor dari Departemen Matematika secara keseluruhan. Kepentingan dari fitur ini sangat tinggi, mencapai 75.62%. Model JST terpilih menghasilkan MAPE sebesar 3.8% dan RMSPE sebesar 4.9% pada data testing.
PENGARUH LAJU PENULARAN PENYAKIT DAN RATA-RATA KONTAK INDIVIDU PADA MODEL KO-INFEKSI HIV/AIDS DAN CACAR MONYET (MONKEYPOX)
Authors: Luthfiani Dini Dessya , Sianturi Paian , Ali Kusnanto  , Sumarno Hadi
Published: August 2022

Cacar monyet (monkeypox) adalah penyakit akibat virus yang ditularkan melalui binatang. Penularan virus cacar monyet ke manusia dari hewan seperti monyet dan hewan pengerat terjadi melalui kontak langsung atau mengonsumsi daging hewan liar yang terkontaminasi. Dalam model ini, populasi hewan dibagi menjadi tiga subpopulasi dan populasi manusia dibagi menjadi sembilan subpopulasi. Hasil analisis diperoleh titik tetap bebas penyakit dan titik tetap endemik. Hasil analisis sensitivitas menunjukkan bahwa pengaruh laju penularan penyakit dan rata-rata kontak individu merupakan parameter yang paling berpengaruh dalam model. Dengan simulasi numerik, ditunjukkan juga bahwa penurunan laju penularan dan kontak individu berimplikasi pada penurunan bilangan reproduksi dasar. Secara berangsur-angsur, tingkat populasi individu terinfeksi akan turun. Dus, pengontrolan kedua faktor tersebut akan mengakibatkan penyebaran penyakit cacar monyet terkendali.
ANALISIS SUPPORT VECTOR REGRESSION DENGAN ALGORITMA GRID SEARCH UNTUK MEMPREDIKSI HARGA SAHAM
Authors: Hermawan Andri , Mangku I Wayan , Ardana N. K. Kutha , Sumarno Hadi
Published: August 2022

Pada artikel ini dikaji suatu metode yang dapat digunakan untuk meramalkan harga saham. Tujuan dari penelitian ini adalah memperkenalkan metode Support Vector Regression dengan Algoritma Grid Search untuk memprediksi harga saham INDF dan MYOR serta melakukan peramalan satu periode ke depan pada kedua perusahaan tersebut. Hasil kajian menghasilkan model prediksi terbaik untuk data saham INDF dengan nilai MAPE dan  pada data testing berturut-turut sebesar 5.570% dan 79.9%, sedangkan untuk data saham MYOR diperoleh nilai MAPE dan  pada data testing berturut-turut sebesar 2.954% dan 96%. Hasil penelitian juga menunjukkan prediksi harga saham INDF dan MYOR untuk satu periode selanjutnya (31 Desember 2021) berturut-turut sebesar Rp 6326.88/lembar dan Rp 2039.31/lembar.
BILANGAN KETERHUBUNGAN PELANGI PADA SEQUENTIAL JOIN DARI EMPAT DAN LIMA GRAF
Authors: Septyanto Fendy
Published: August 2022

Pewarnaan pelangi pada suatu graf adalah pelabelan busur sehingga setiap pasang simpul dapat dihubungkan oleh lintasan pelangi (lintasan yang warna busurnya berbeda semua). Bilangan keterhubungan pelangi dari suatu graf adalah banyaknya warna minimal pada pewarnaan pelangi pada graf tersebut. Sequential join dari beberapa graf saling lepas diperoleh dengan menghubungkan setiap simpul pada graf pertama ke setiap simpul pada graf kedua, lalu setiap simpul pada graf kedua ke setiap simpul pada graf ketiga, dan seterusnya. Penelitian ini menyelidiki bilangan keterhubungan pelangi pada sequential join dari empat atau lima graf.
Parasitic Potential of Bracon brevicornis Wesmael (Hymenoptera: Braconidae) on Spodoptera frugiperda (J. E. Smith, 1797) (Lepidoptera: Noctuidae)
Authors:   Department of Agricultural Entomology, Tamil Nadu Agricultural University, Coimbatore – 641 003,India, S Lekha priyanka , S Jeyarani ,   Department of Agricultural Entomology, Tamil Nadu Agricultural University, Coimbatore – 641 003,India, N Sathiah ,   Department of Agricultural Entomology, Tamil Nadu Agricultural University, Coimbatore – 641 003,India, S Mohankumar ,   Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University,Coimbatore –641 003, India
Published: August 2022

Maize is one of the most important cereal crops and is called ‘the queen of cereals’ because of its high yielding potential than other cereals. Fall armyworm, Spodoptera frugiperda is one of the serious invasive pests found to cause higher yield loss and extensive damage on maize. Considering the ecological and environmental consequences, biological control of insect pests is gaining importance as an alternative to insecticides. However, the success of any biological control programme depends on the appropriate parasitoid: host ratio and the biological stage of the pest susceptible to parasitoid. To fortify the above facts, the present study was aimed to determine the parasitic potential of B. brevicornis on S. frugiperda through free and no choice tests. This study indicated highest parasitization at the parasitoid: host ratio of 5:1 with 68.60 and 64.95 per cent parasitization on the VI instar followed by V instar (57.75 and 56.95 %), IV instar (48.80 and 46.60 %) and III instar (32.40 and 30.67 %) respectively under free and no choice conditions, respectively. Among the parasitoid host ratios tested 5: 1 was found to be the best indicating that the parasitic potential of B. brevicornis was directly proportional to the parasitoid densities. Biological parameters of B. brevicornis studied on different S. frugiperda instars recorded highest number of eggs (32.00), grub (30.75), cocoon (29.75) and adults (28.00) on sixth instar larva of S. frugiperda followed by fifth instar larva of S. frugiperda. The results revealed that the larval size was directly proportional to the progeny development of B. brevicornis. The egg, grub and cocoon period of B. brevicornis on S. frugiperda ranged from 24.20 to 26.20 h, 72.26 to 73.20 h, 96.20 to 98.20 h, respectively. The total life cycle was completed in 192.66 to 195.80 h in all instars and was found to be on par with all the instars studied. The longevity of adults emerged from different instars were found to be on par with each other and it ranged from 362.0 to 362.8 h.
Potential Research Challenges of Individualize and Vocational Education
Authors: Hussain Shafiq
Published: August 2022

Potential Research Challenges of Individualize and Vocational Education
Perceptual awareness occurs along a graded continuum: No evidence of all-or-none failures in continuous reproduction tasks
Authors: Cohen Michael , Keefe Jonathan Michael , Brady Timothy F.
Published: August 2022

Does sensory information reach conscious awareness in a discrete, all-or-nothing manner, or a gradual, continuous manner? To answer this question, we examined behavioral performance across four different paradigms that manipulate visual awareness: the attentional blink, backwards masking, the Sperling iconic memory paradigm, and retro-cueing. We then asked how well we could account for participants’ (total N=112 adult participants) behavior using a signal detection framework that factors in psychophysical scaling to model participants’ responses along a single continuum. We found that this model easily accounted for the data from each of these diverse paradigms. Moreover, we re-analyzed the data from prior studies that had argued for a discrete view of perceptual awareness and found that our continuous signal detection model outperformed the models that had been used to support an all-or-nothing view of consciousness. This set of data is consistent with the idea that conscious awareness occurs along a graded continuum.
Combining observational and experimental approaches to the development of language and communication in rural samples: Opportunities and challenges
Authors: Cristia Alejandrina , Foushee Ruthe , Aravena-Bravo Paulina , Cychosz Meg , Scaff Camila , Casillas Marisa
Published: August 2022

Multiple approaches—including observational and experimental—are necessary to articulate powerful theories of learning. Our field’s key questions, which rely on these varied methods, are still open: How do children perceive and produce language? What do they encounter in their linguistic input? What does the learner bring to the task of acquisition? Considerable progress has been made for the development of spoken English (especially by North American learners). Yet there is still a great deal to discover about how children in other populations proceed, especially populations in rural settings. To examine language learning in these populations, we need a multi-method approach. However, adapting and integrating methods, particularly experimental ones, to new settings can present immense challenges. In this paper, we discuss the opportunities and challenges facing researchers who aim to use a multimethodological approach in rural samples, and what the field of language acquisition can do to promote such work.
Protocol for Project MIME: Motivation, Inflammation, and Mood in Emerging Adults
Authors: Moriarity Daniel P. , Kautz Marin , Ghias Kubarah , Pennypacker Kirsta , Harmon-Jones Eddie , Alloy Lauren B
Published: August 2022

Background: Atypical inflammatory biology is gaining evidence as a risk factor for mood psychopathology; however, little work has attempted to integrate inflammation into extant psychosocial frameworks of risk. Recent work using secondary data analysis has investigated the possibility of an immunocognitive model of mood disorders, in which cognitive vulnerabilities (i.e., rumination on positive or negative affect) increase the effect that arousal-related characteristics (e.g., reward sensitivity) have on inflammatory biology in ways that may confer risk for depression and hypo/mania symptoms. Project MIME (Motivation, Inflammation, and Mood in Emerging Adults) was designed to test this model in the context of a novel, reward-salient stressor (the Anger Incentive Delay Task, AIDT). Methods: This NIMH-funded study will result in a dataset of approximately 100 college undergraduates from a large university in Pennsylvania, United States of America. Eligible participants are recruited from an online screener, have to be 18-22 years old, fluent in English, and successfully answer several items designed to test whether participants randomly answer questions on the screener. Eligible participants are invited to an in-person visit in which they completed the AIDT, blood draws pre- and 50 minutes post-AIDT, and self-report questionnaires. Participants also complete a set of online questionnaires two weeks after the in-person visit.Discussion: Consistent with calls from the NIH director, this study seeks to diversify the tools used in stress research by validating a novel reward-salient stressor (in contrast to the field’s reliance on social stressors) with respect to affective and immunological stress reactivity. In addition to this methodological goal, Project MIME is the first study specifically designed to test the immunocognitive model of mood psychopathology. Given the integration of several malleable treatment targets (approach behavior, emotion regulation, inflammation) into this model, results from this study could inform comprehensive, flexible intervention strategies for mood disorder prevention and treatment.
A capability-approach perspective on regional development
Authors: Abreu Maria , Comim Flavio , Jones Calvin
Published: August 2022

We argue for a broader and more deliberative regional policy-making process that can be used to better identify the needs of diverse left-behind communities and develop appropriate policies. We argue that the capability approach’s quintessentially inclusive and broad scope, and focus on real opportunities, agency, and process might better address the challenges of regional development. We use these insights to lay out a practical guide for how the capability approach could be used in policymaking, breaking down the implementation approach into steps, and providing examples from a variety of contexts to show how each step might be achieved in practice.
संस्कृति निर्माणया आधार
Authors: वज्राचार्य Bajracharya वज्रमुनि Bajramuni
Published: August 2022

जंगली अवस्थां सभ्य जुयाः म्वाय्‌स:गु अवस्थाधुंकाः मनूतय्‌सं थःगु बुद्धि विवेक छेलाः चिन्तन याय्‌गु झोलय्‌ संस्कृतिया निर्माण जुल । मनूतय्‌गु मजीमगाःगु आवश्यकता पूवंकेगु धैगु सभ्यता खःसा सभ्य जुयाः गुकथं म्वाय्‌गु धैगु चिन्तनया उपज संस्कृति खः । लं पुनेगु, बाजं थाय्‌गु सभ्यताया चिं खःसा लं पुनेगु बाजं थाय्‌गु कलात्मक चिन्तन संस्कृति खः । थुजोःगु चिन्तनय्‌ उगु थाय्‌या लकस, मौसम, प्राकृतिक वस्तु, भूगोलं तःधंगु भूमिका म्हिती । पर्यावरणपाखें मनूतय्‌सं थःगु शारीरिक अस्तित्व लेंकातय्‌गु कुतः यानाचोनी । थः व थः चोनागु समाजया अस्तित्व लेंकेगु, निरन्तरता बीगु लागि याःगु मंकाः कुतःपाखें संस्कृतिया जन्म जुइ । संस्कृत भाषाय्‌ परिष्कृतया अर्थय्‌ छेलातःगु खनेदु । थुगु चोसुइ नेपाःगाःया नेवाःतय्‌सं न्ह्याकाचोंगु संस्कृतियात लिधँसा दय्‌कागु दु । भौगोलिक, धार्मिक आस्थाकथं नेवाः संस्कृति निर्माण जुयाचोंगु खनेदु । नेवाः संस्कृति निर्माणया आधार हिन्दू बौद्ध दर्शन चिन्तनपाखें प्रभावित खनेदुसा थुगु चिन्तनया मूल आधार पर्यावरण हे खनेदु । जुलियन स्टेवार्डया सांस्कृतिक पर्यावरणया सिद्धान्तयात थुगु चोसुइ छेलेगु जुइ । जुलियन स्टेवार्डया धारणाकथं पर्यावरणपाखें मनूया जीवनय्‌ प्रत्यक्ष असर लाकी । उगु थाय्‌या लकसया अन्तरक्रियापाखें हे विशिष्ट संस्कृतिया विकास जुइ । प्रकृतिनाप संघर्ष याय्‌बले सुनां त्याकेफै वयागु अस्तित्व लेनाचोनी । सु संघर्षय्‌ बुइ व लोप जुइ डार्बिनया विकासवादी सिद्धान्तया आधारय्‌ जुलियन स्टेवार्डं संस्कृतिया निर्माण पर्यावरणया आधारं जुइ धैगु सांस्कृतिक पर्यावरणया सिद्धान्तयात परिक्षण याय्‌कथं थुगु चोसु तयार जूगु दु ।
Combinational Logic Analysis with Laser Voltage Probing
Authors: Ravikumar Venkat Krishnan , Lua Winson , Ranganathan Gopinath , Phoa Angeline
Published: August 2022

This article explains how laser voltage probing (LVP) can be used to analyze combinational logic circuits. The authors describe how the technique is aided by the development and use of a waveform library and a corresponding truth table. They also present a case study in which the new technique is used to isolate faults in a combinational logic circuit consisting of multiple gates.
Applied Failure Analysis Tools and Techniques Toward Integrated Circuit Trust and Assurance
Authors: Kimura Adam G. , Waite Adam R. , Scholl Jonathan , Via Glen D.
Published: August 2022

Traditional post-fabrication testing can reliably verify whether or not an IC is working correctly, but it cannot tell the difference between an authentic and counterfeit chip or recognize design changes made with malicious intent. This article presents an IC decomposition workflow, based on FA tools and techniques, that provides a quantifiable level of assurance for components in a zero trust environment.
METHODICAL PRINCIPLES FOR DETERMINING THE OPTIMAL WORKING TIME OF A MOUNTAIN RESCUER
Authors:   State Higher Education Establishment «Donetsk National Technical University», Tokarskiy Oleksandr
Published: August 2022

Goal. Development of methods for studying the impact of dangerous and harmful factors on the mountain rescuer during search and rescue operations at low ambient temperatures. Method. The article presents the results of the study according to the methods of Euro standards, namely: experiments, theoretical analysis. Results. The article examines in detail the problem of protection of mountain rescue workers during search and rescue operations in mountainous areas, which is characterized by limited transport accessibility, and proposes methodological principles for studying the impact of low temperatures on the functional state of rescue workers. A certain algorithm for conducting a study of the level of protection of mountain rescuers is proposed and the need to standardize the time of search and rescue operations for effective work and minimal damage to the health of the mountain rescue service. Scientific novelty. The article for the first time uses the method of determining the degree of influence of low temperatures on the human body, in particular on the functional state of a mountain rescue worker, taking into account the level of his protection by electroencephalogram (EEG). Practical significance. The recommended method will ensure the formation of requirements for the regulations of all search and rescue operations by mountain rescue workers in areas with rugged terrain and relative elevations of 500 m and more within a radius of 25 km, and areas above 900 m and above sea level. Accordingly, the implementation of the proposed requirements of the regulation will ensure the rationing of the time of work of varying degrees of load at low temperatures that affect the human body.