bluuebunny/crossref_metadata_2025 huggingface dataset:
Mechanically Gated Formation of Donor–Acceptor Stenhouse Adducts Enabling Mechanochemical Multicolor Soft Lithography
Authors: Overholts Anna C. , Granados Razo Wendy , Robb Maxwell J.
Published: October 2022

Stress-sensitive molecules called mechanophores undergo productive chemical transformations in response to mechanical force. A variety of mechanochromic mechanophores, which change color in response to stress, have been developed, but modulating the properties of the dyes generally requires the independent preparation of discrete derivatives. Here we introduce a mechanophore platform enabling mechanically gated multicolor chromogenic reactivity. The mechanophore is based on an activated furan precursor to donor–acceptor Stenhouse adducts (DASAs) masked as a hetero-Diels–Alder adduct. Mechanochemical activation of the mechanophore unveils the DASA precursor and subsequent reaction with a secondary amine generates an intensely colored DASA. Critically, the properties of the DASA are controlled by the amine and thus a single mechanophore can be differentiated post-activation to produce a wide range of functionally diverse DASAs. We highlight this system by establishing the concept of mechanochemical multicolor soft lithography whereby a complex multicolor composite image is printed into a mechanochemically active elastomer through an iterative process of localized compression followed by reaction with different amines.
Systematic Comparison of Experimental Crystallographic Geometries and Gas-Phase Computed Conformers for Torsion Preferences
Authors: Folmsbee Dakota , Koes David , Hutchison Geoffrey
Published: October 2022

We have performed exhaustive torsion sampling on more than 3 million compounds using the GFN2 method and performed a comparison of experimental crystallographic and gas-phase conformers. Many conformer sampling methods derive torsional angle distributions from experimental crystallographic data, limiting the torsion preferences to molecules that must be stable, synthetically accessible, and able to be crystallized. In this work, we evaluate the differences in torsional preferences of experimental crystallographic geometries and gas-phase computed conformers from a broad selection of compounds to determine whether torsional angle distributions obtained from semi-empirical methods are suitable for conformer sampling. We find that differences in torsion preferences can be mostly attributed to a lack of available experimental crystallographic data, with some deviations derived from gas-phase geometry differences. GFN2 demonstrates the ability to provide accurate and reliable torsional preferences that can provide a basis for new methods free from limitations of experimental data collection. We provide Gaussian-based fits and sampling distributions suitable for torsion sampling, and propose an alternative to ETKDG using quantum-torsion derived distance geometry methods (QTDG).
Redox Inversion: A Radical Analog of Umpolung Reactivity for Base and Metal-Free Catalytic C(sp3)–C(sp3) Coupling
Authors: Seong Chris , Ansel Annabel , Roberts Courtney
Published: October 2022

The construction of alkyl–alkyl bonds is a powerful tool in organic synthesis. Redox inversion–defined as the radical analog of polarity inversion–is used as a strategy for C(sp3)–C(sp3) coupling. Herein is reported a base and metal-free photocatalytic coupling of carboxylic acids to form biologically relevant bibenzyls through a radical-radical coupling. Mechanistic insight is gained through control reactions that implicate this new redox inversion strategy. In this work, the previously unexplored redox-opposite relationship between a carboxylic acid and its in situ activated redox active ester is implemented in catalysis.
Designing solvent systems in chemical processes using self-evolving solubility databases and graph neural networks
Authors: Kim Yeonjoon , Jung Hojin , Kumar Sabari , Claiborne Alex , Paton Robert S. , Kim Seonah
Published: October 2022

Designing solvent systems is the key to achieving the facile synthesis and separation of desired products from chemical processes. In this regard, many machine-learning models have been developed to predict the solubilities of given solute-solvent pairs. However, breakthroughs in developing predictive models for solubility are needed, which can be accomplished through a remarkable expansion and integration of experimental and computational solubility databases. To maximize predictive accuracy, these two databases should not be separately trained when developing ML models. In addition, they should not be simply combined without reconciling the discrepancies between different magnitudes of errors and uncertainties. Here, we introduce self-evolving solubility databases and graph neural networks developed through semi-supervised self-training approaches. Solubilities from quantum-mechanical calculations are referred to during semi-supervised learning, but they are not directly added to the database. Such methodologies enable the augmentation of databases while correcting the discrepancy between experiments and computation and improving the predictive accuracy against experimental solubilities. The resulting model was successfully applied to two practical examples relevant to solvent selection in organic reactions and separation processes: (i) linear relationship between reaction rates and solvation free energy for three organic reactions, and (ii) partition coefficients for lignin-derived monomers and drug-like molecules.
Calculation method of the radar cross section of the complex shape object located on the surface with an arbitrary reflection coefficient
Authors: Khrychov V. , Legenkiy M.
Published: October 2022

Relevance. Currently, an important problem is the electromagnetic wave scattering modeling on the complex shape objects located on some underlying surface (this may be military equipment on bitumen/ grass, surface objects directly on the water). Such tasks are important when designing new inconspicuous equipment.

The purpose of the work. Consider the existing and suggest improvements in the method solving of the problem of electromagnetic wave diffraction on the complex shape object, which is located on some underlying surface. In this case, the change in the electromagnetic parameters of the underlying surface should not lead to the need to re-calculate the field scattered from the object.

Materials and methods. The diffraction problem is solved for the complex shape object, which is located on the underlying surface. The surface can be characterized by dielectric (and magnetic) permeability, complex reflection coefficient or surface impedance. In order to determine the resulting field for an object located on an arbitrary surface, the scattering problem is solved for cases when the object is located above an ideally conducting surface and above an ideal magnetic.

Results. A modeling technique for the scattering of the electromagnetic waves by the complex shape objects located above an underlying surface is proposed. Numerical experiments have been caried out in order to demonstrate the effectiveness of this technique.

Conclusion. It is shown that the method proposed in the article allows to effectively calculate the contribution of different underlying surfaces in the resulting scattered field of the complex shape objects that are located on it. You do not need to simulate directly for an object over a specific surface each time. It is enough to carry out only three simulations: for an object in free space, and also when ideal conductor and ideal magnetic are used as the underlying surface. Formulas that allow to calculate the field scattered by this object for an arbitrary underlying surface are obtained.
Salt-related practices and its association with 24-hour urinary sodium excretion in an Uruguayan population cohort
Authors: Moliterno Paula , Donangelo Carmen Marino , Borgarello Luciana , Oviedo Leticia , Nogara Romina , Olascoaga Alicia , Boggia José
Published: October 2022

Objectives.

To evaluate the association between knowledge, attitudes, and behavior (KAB) towards sodium use and sodium intake measured by 24-hour urinary collection in an adult cohort from Uruguay (Genotype Phenotype and Environment of Hypertension Study, GEFA-HT-UY).

Methods.

In a cross-sectional study (n = 159), a single 24-hour urinary sample, participants' physical, biochemical and blood pressure measurements and questionnaire data were collected. The association between KAB and 24-hour urinary sodium excretion was assessed using general linear models.

Results.

Mean age of participants was 49.8±15.5 years, 67.9% were women, and mean 24-hour urinary sodium excretion was 3.6±1.7 g/day. Although 90.6% of participants exceeded the maximum recommended intake as indicated by urinary sodium excretion, more than half misperceived their actual intake, reporting consuming “the right amount.” Almost three-quarters of the participants reported being concerned about the amount of sodium in their diet, but only 52.8% reported taking action to control it. Lack of procedural knowledge was observed. There was no association between KAB and sodium use and intake assessed by 24-hour urinary sodium excretion.

Conclusions.

The lack of association between KAB towards the use of sodium and intake measured by 24-hour urinary excretion reflects the need to support people with opportunities and motivations to reduce sodium consumption. Structural actions to promote an adequate food environment, such as the effective implementation of the front-of-package nutrition labeling in Uruguay, are positive steps.
Research on Cost Stickiness in International Journals: A Bibliometric Study
Authors: Krisnadewi Komang Ayu , Niroula Ballav , Singh Sanju Kumar
Published: October 2022

Contemporary points of view have posited that cost behavior is asymmetrical and tends to be sticky. The purpose of this study is to determine the development of cost behavior research, especially about cost stickiness, in reputable international journals. There are 142 articles that meet the criteria which have been obtained from the Scopus database. Bibliometric analysis has been performed with the help of the VOSviewer application. The results of the analysis show that research related to cost stickiness has increased in the last decade. The cost stickiness research consists of the following clusters: 1) the health industry; 2) labor costs; 3) social, environmental and sustainability issues; 4) corporate governance; 5) specific problems in manufacturing; and 6) leadership characteristics. The topics of research on cost stickiness that are still being researched are related to the role of the environmental community, business strategy, and the role of managerial leadership. In this analysis, the authors also show that articles that treat cost stickiness as an independent variable are limited. Based on the results of this analysis, we provide suggestions regarding opportunities for research on cost stickiness in the future.
Intelligent Bilateral Client Selection in Federated Learning Using Game Theory. (c2022)
Authors:   ,   Lebanese American University, Wehbi Osama
Published: October 2022

Federated Learning (FL) is a novel distributed privacy-preserving learning paradigm, which enables the collaboration among several participants (e.g., Internet of Things devices) for the training of machine learning models. However, selecting the participants that would contribute to this collaborative training is highly challenging. Adopting a random selection strategy would entail substantial problems due to the heterogeneity in terms of data quality, and computational and communication resources across the participants. To overcome this problem, we present in this paper FedMint, an intelligent client selection approach for federated learning on IoT devices using game theory and bootstrapping mechanism. Our solution involves designing (1) preference functions for the client IoT devices and federated servers to allow them to rank each other according to several factors such as accuracy and price, (2) intelligent matching algorithms that take into account the preferences of both parties in their design, and (3) bootstrapping technique that capitalizes on the collaboration of multiple federated servers in order to assign initial accuracy value for the new connected IoT devices. Based on our simulation findings, our strategy surpasses the VanillaF selection approach in terms of maximizing both the revenues of the client devices and accuracy of the global federated learning model.
Forward simulation of three-dimensional advection-diffusion using a fundamental solution for a linear flow. (c2022)
Authors:   ,   Lebanese American University, Wehbe Rawan
Published: October 2022

A novel Lagrangian-based algorithm is presented for tracking a patch of a passive tracer that evolves according to the 3D advection diffusion equation with a general steady velocity. The algorithm is based on approximating the flow locally by a linear one in space, relative to the center of a patch moving with the flow. We seek a semi-analytic solution to the corresponding PDE, based on the Anzats that the exact solution assumes a Gaussian form whose contours are ellipsoids whose axes are evolving according to velocity parameters. We assume that the coefficients that govern this evolution are unknown and we prove that they have to satisfy a coupled system of non-linear first order ODEs. The system is solved numerically using an RK4 scheme. We first check the algorithm against special linear flows with known exact analytical solutions. We then apply the algorithm to Ekman flows in two and three dimensions and compare our results in two dimensions to the grid based, finite element solver COMSOL Multiphysics. In a regime where the patch does not grow too much in size, the results of our algorithm, which is significantly faster, show acceptable agreement with COMSOL.
Effect of Tempering Treatment on the Post-Weld Properties and Chemical Compositions of Arc-Welded Alloy Steels
Authors: Abdullahi Umma
Published: October 2022

The effect of heat treatment on welded joints using the shielded metal arc welding (SMAW) on three different types of steel with different carbon ratios under constant conditions such as the welding current 120A, voltage 80V, Diameter 10 mm and angle 60 degree. Hardness tests chemical composition analysis were carried out and it was observed that, high carbon steel has the highest hardness of about 459 on maximum HV value, followed by the low carbon steel with the hardness of 316HV maximum and medium carbon experience the least value of 208HV. Hardness increases with low carbon content as shown in the experimental results which deduced that the low carbon steel used was confirmed to be the high-strength-low-alloy steel of grade 8620-HSLA-Nickel-Chromium-Molybdenum steel. The microstructure of the base metal was analysed before heating to support the results of chemical analysis. Nickel percentage of up to 0.147% and Chromium 0.083%. Molybdenum was just 0.030% which contributed in affecting the mechanical properties of the steel.
An Analysis of Water Characteristics of Shiddhirganj 210MW Steam Power Plant, Sirajganj 225MW Combined Cycle Power Plants and Rooppur 2400MW Nuclear Power Plant in Bangladesh: A Comparative Study of Power Plant Grade Water
Authors: Nur Salam Md , Farhan Hasan Mohammad , Rokonuzzaman Md , A Rahman Md
Published: October 2022

Water quality has long been an important part of the operation of nuclear and thermal power plants. Water is used as a working and cooling fluid in power plants. The quality of source water to be used in the power plants after treatment should conform to the prescribed values of Physico-Chemical properties like pH, EC, TDS, Alkalinity, Hardness, presence of Chloride content, Silica, and Heavy metals as recommended by technical guidelines. To analyze the water characteristics, water samples were collected from various sources. Two river water samples and a groundwater sample (marked as PP1, PP2, and NPP site) were tested to determine the water properties. The Physico-chemical properties of the water samples were determined using various analytical tests. Heavy metals were also investigated using the Atomic Absorption Spectrophotometric (AAS) process. The Physico-chemical properties of investigated samples were so good as to the recommended values of the World Health Organization (WHO), United States of Public Health (USPH), and Bangladesh Environmental Department. But the values were very far from the recommended values for thermal power plants operation. So, it needs to treat to use in the boilers. Gravitation, Carbon filtration, Ion exchange method, and Reverse Osmosis (RO) are good ways to treat the water before use in power plants. The Padma River water is better than the other two samples when the Physico-chemical characteristics of the sample waters were analyzed to the prescribed levels for the boiler water of a thermal power plant and the secondary water circuit of a third-generation nuclear PWR reactor. The aim of this work is to explore the difference between the source water quality parameters values and those of the recommended values of technical guidelines. To minimize the water treatment cost, a new site for the installation of a power plant project in Bangladesh can be advocated depending on the availability of good quality water.
A Comparative Study of Antibacterial Activity of Citrus and Jabali Honeys with Manuka Honey
Authors:   Faculty of Pharmacy, Department of Pharmacy, Al-Zaytoonah University of Jordan, Amman, Jordan, A. Alkafaween Mohammad , Kafaween Hidaeyh ,   Department of Allied Medical Sciences, Zarqa University College, Al-Balqa Applied University, Jordan, M. Al-Groom Rania ,   Department of Allied Medical Sciences, Zarqa University College, Al-Balqa Applied University, Jordan
Published: October 2022

Abstract: Honey is a natural product that has been widely used for its therapeutic effects. Honey is effective against pathogenic bacteria in inhibiting planktonic antibiotic sensitive strains and antimicrobial resistant organisms. To date, there is no comparative study of the antibacterial activity of Citrus honey (CH) and Jabali honey (JH) with that of Manuka honey (MH). Therefore, the purpose of this study was to conduct such study and to compare the antibacterial activity of CH and JH with that of MH against Pseudomonas aeruginosa. The antibacterial, antibiofilm and antivirulence activities of CH, JH and MH against P. aeruginosa were investigated by agar well diffusion, Minimum Inhibitory Concentration (MIC), Minimum Bactericidal Concentration (MBC), time-kill curve, disruption of microcolony, microtiter plate and reverse transcription-quantitative Quantitative Real-Time Polymerase Chain Reaction (RT-qPCR). Agar inhibition assay showed that CH, JH and MH at 20% has antibacterial activity against P. aeruginosa with an inhibition zone of 14.1±0.1 mm, 12.2±0.2 mm and 10.9±0.1 mm respectively. The results showed that the MICs value of CH and JH was 25% compared to MH (12.5%) and the MBCs value of CH and JH was 50% compared to MH (25%) against P. aeruginosa. In addition, the MIC50 and MIC90 for CH and JH were 25% and 50% respectively compared to MH (MIC50; 12.5% and MIC90; 25%) against P. aeruginosa. All tested honeys were found to disrupt the microcolony formation in P. aeruginosa. In time-kill curve, treatment of P. aeruginosa with 2×MIC (Minimum inhibitory concentration) of MH, CH and JH for 12-hours resulted in reduction in colony-forming unit (CFU/ml). The lowest concentration of 20% of MH, CH and JH was found to inhibit and eradicate biofilm formation. RT-qPCR analysis revealed that the expression of all genes (oprB, oprC, fleN, fleQ, fleR, lasR and lasI) in P. aeruginosa were downregulated after exposure to all tested honeys. Among the all-tested honeys, MH showed the highest total antibacterial, antibiofilm and antivirulence activities. This study indicates that CH and JH has antibacterial and antibiofilm activities compared with MH due to a decrease in expression of essential genes associated with P. aeruginosa.
TANGGUNG JAWAB HUKUM MARKETPLACE TERHADAP PEMASARAN ALAT BANTU SEKSUAL DI BAWAH UMUR
Authors: Marditia Putri Purbasari Raharningtyas , Maria Rosalina Samosir Annie
Published: October 2022

Perkembangan teknologi yang semakin pesat membuat mudah diaksesnya segala sesuatu dalam berbagai bidang, khususnya dalam bidang perekonomian yang menghadirkan marketplace sebagai salah satu wadah pemasaran. Marketplace dalam pemasarannya, menjual banyak hal bahkan termasuk alat bantu seksual. Padahal penggunanya berasal dari berbagai usia, lalu bagaimana perlindungan terhadap pengguna yang belum dewasa. Oleh karena itu, penulis tertarik untuk membahas bagaimana pertanggungjawaban marketplace terhadap pemasaran alat bantu seksual. Metodelogi penulisan adalah yuridis normatif yang berdasarkan penelitian kepustakaan dengan jenis data sekunder. Hasil penelitian ini diketahui bahwa terdapat batasan-batasan tanggung jawab antara marketplace dan penjual, sehingga marketplace dalam melakukan pemasarannya perlu melakukan pembatasan akses untuk barang-barang yang menyesuaikan usia penggunanya, yang mana bila dilanggar akan memenuhi ketentuan perbuatan melawan hukum. Selanjutnya, penulis menyimpulkan bahwa dalam melaksanakan pemasarannya marketplace perlu menerapkan sistem filter sehingga terhindar dari perbuatan melawan hukum atas pemasaran alat bantu seksual karena dengan begitu, melindungi penggunanya sesuai dengan ketentuan.
PENGALIHAN HARTA KEKAYAAN DEBITOR PAILIT TANPA SEPENGETAHUAN KURATOR DAN AKIBAT HUKUMNYA
Authors: Zubaedah Rahmi , Affandi Imanudin , Panjaitan Meiline Maria M.
Published: October 2022

Actio pauliana merupakan suatu upaya hukum untuk melindungi hak-hak kreditor dalam perkara kepailitan dengan mengajukan pembatalan atas segala perbuatan hukum antara debitor pailit dengan pihak ketiga. Penelitian ini menggunakan metode yuridis normatif, yakni dengan cara meneliti serta menggambarkan objek penelitian melalui bahan pustaka dengan analisis kualitatif. Dari hasil penelitian dapat disimpulkan bahwa faktor-faktor yang menyebabkan terjadinya pengalihan harta kekayaan debitor pailit tanpa sepengetahuan kurator disebabkan oleh faktor harta kekayaan debitor pailit belum masuk ke dalam bundel pailit, faktor debitor pailit menjual atau menyembunyikan harta kekayaannya sebelum dinyatakan pailit, faktor debitor pailit bersikap tidak kooperatif dan faktor debitor pailit tidak beritikad baik. Akibat hukum dari tindakan debitor pailit yang mengalihkan harta kekayaannya tanpa sepengetahuan kurator adalah dapat dimintakan pembatalan perjanjian debitor pailit. Upaya kreditor yang dirugikan oleh tindakan debitor pailit atas pengalihan harta kekayaan tanpa sepengetahuan kurator adalah dengan cara mengajukan gugatan actio pauliana yang diwakili oleh kurator ke Pengadilan Niaga
ANALISIS UNDANG-UNDANG NO.8 TAHUN 1999 TENTANG PERLINDUNGAN KONSUMEN DALAM TRANSAKSI JUAL BELI ONLINE MELALUI SHOPEE
Authors: Ardiyanto Ardhan , Saputra Arikha
Published: October 2022

Penelitian ini memiliki tujuan yaitu untuk mengetahui Analisis Undang Undang No. 8 Tahun 1999 Tentang Hukum Perlindungan Konsumen tentang jual beli Online melalui Shopee dan untuk mengetahui dan menganalisis permasalahan yang sering terjadi dalam transaksi jual beli secara Online dan upaya penyelesaiannya. Penelitian ini menggunakan metode penulisan yuridis normatif yang bersumber dari studi kepustaakaan, Data penulisan yang disajikan dalam uraian deskriptif analisis ini selanjutnya akan dianalisis dengan menggunakan metode kualitatif.Undang – undang Nomor 8 Tahun 1999 tentang Hukum Perlindungan Konsumen telah memberikan upaya perlindungan terhadap transaksi jual beli melalui Online yakni seperti dicantumkannya hak dan kewajiban yang dimiliki oleh penjual maupun pembeli yang harus dipenuhi. Berkaitan dengan perlindungan terhadap transaksi Online di Shopee, Selain itu dalam penyelesaian sengketa dapat dilakukan di dalam pengadilan maupun di BPSK. Hal tersebut menandakan bahwa Shopee telah melakukan kewajibannya dalam perlindungan hukum terhadap konsumen.
Micromechanics of small deformations in metal alloys under laser irra­ diation
Authors: Matyunin V. M. , Kudryakov O. V. , Varavka V. N. , Marchenkov A. Yu.
Published: October 2022

Development of the nanomaterial science heightened the interest in studying the deformation mechanism accompanied by grain boundary sliding (GBS). However, the experimental study of GBS processes in mi­cro- and nanovolumes of metallic materials faces difficulties attributed to high localization of strains and requires the use of modern methods and tools of high-resolution electron microscopy. Therefore, the avail­able literature data refer mainly to theoretical and model studies in this area. Treatment of metal alloys with concentrated energy flows, for example, laser irradiation, can impart characteristic features to the grain boundary slip. In this regard, we performed the experimental study of the microplastic deformation of Armco iron with a single-phase ferrite structure under pulsed laser processing. To exclude the effect of phase transformations on the deformation process, only the heat-affected zone (HAZ) was studied. The temperature in HAZ was below the temperature of the first critical point and did not exceed 700°C, which made it possible to consider the total deformation an equivalent of the GBS deformation. The microstructure studies by the methods of optical and scanning electron microscopy revealed that in condi­tions of ultrafast heating and cooling during laser processing of metal, deformation occurred with the par­ticipation of the GBS mechanism. The characteristic features of GBS, i.e., the presence of stepped bound­ aries and accommodation zones, as well as the appearance of high-angle grain boundaries were observed. A technique is proposed for measuring the strain value through the GBS mechanism under an assump­tion that the strain vector components for cubic lattices are statistically equal. A statistical analysis of the measurements of the orthogonal component of the strain vector using the secant method was performed, which provided determination of the relative strain values by GBS mechanism in Armco iron within a range of 1.2-5.9%.
Meta-Analysis: The Effect of D-Dimer on Mortality in Patients with COVID-19
Authors: Ryadi Yusuf , Rahardjo Setyo Sri , Ichsan Burhannuddin
Published: October 2022

Background: The severity of COVID-19 can be detected by examining elevated levels of CRP, ferritin, IL-6 and LDH. Elevated D-dimer levels are often found in patients with severe COVID-19 which can predict the occurrence of ARDS (Acute Respiratory Distress Syndrome) and patient mortality. The purpose of this study was to determine how much influence D-dimer levels had on mortality of COVID-19 patients. Subjects and Method: This study used a systematic review and meta-analysis with following PICO, population: patients with a clinical diagnosis of COVID-19. Intervention: high D-dimer level. Comparison: low D-dimer level. Outcome: mortality. The data used were obtained from scientific research articles from Pubmed, Google Scholar, Science Direct, and Proquest electronic databases with a cohort design in 2020 until 2022 and report on aOR in multivariate analysis. The keywords used in the search for scientific articles were “D-dimer level” OR “D-dimer” AND “COVID-19” AND “mortality”. The selection of articles is done by using PRISMA flow diagram. Data were analyzed using Review Manager software version 5.4.1.Results: A total of 12 studies with a cohort design that met the criteria from Asia, America, and Europe were selected for a systematic review and meta-analysis. Based on the meta-analysis, it was found that increased levels of D-dimer (>0.5 g/mL) increased mortality in COVID-19 patients by 6.40 times compared to low levels of D-dimer (≤0.5 g/mL) and was statistically significant (aOR = 6.40; 95% CI= 4.51 to 9.08; p<0.001).Conclusion: Elevated levels of D-dimer may increase mortality risk in COVID-19 patients.
Keywords: d-dimer level, d-dimer, covid-19, mortality.
Correspondence:Yusuf Ryadi. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Jawa Tengah. Email: yusuf.ryadi@gmail.com. Mobile: 085715605268.
Estudio comparativo de las características agronómicas y químicas de tres cultivares de maíz morado en Perú
Authors: Rabanal Atalaya Melissa , Medina Hoyos Alicia
Published: October 2022

En Perú, debido a la gran diversidad geológica y climática, hay diferentes localidades donde aún no se han realizado investigaciones agronómicas y químicas sobre el maíz morado. Por lo tanto, el objetivo del presente trabajo de investigación fue evaluar rendimiento, características morfológicas y químicas de tres variedades del maíz morado, las cuales fueron: INIA-601, variedad experimental denominado MM y Canteño, sembrados en cinco localidades de los Departamentos de La libertad y Cajamarca, ubicados en el norte del Perú. Se evaluaron variables agronómicas, el rendimiento y contenido de antocianinas en el olote como brácteas. Los resultados mostraron que la mejorar localidad fue Shaullo, con los cultivares de INIA-601y Canteño, seguido de MM, con valores de rendimiento de 1.7, 1.6 y 1.6 t ha-1, respectivamente, con valores promediables de altura de planta de 1.7 m, de mazorca de 0.76 m, prolificidad cerca de 1, cantidad de antocianinas en el olote de 4.8 mg g-1 y en las brácteas de 1.6 mg g-1 y en la pudrición de mazorcas el INIA-601 y Canteño obtuvieron valores bajos y muy cercanos de 5.9% y 5.4%, respectivamente; mientras que el MM, 9.6%.
Colorectal cancer: physical activity, obesity and consumption of foods a case-control study in the east of Algeria
Authors: Salima Taleb , Aissani Safa , Negrichi Samira
Published: October 2022

Purpose: To evaluate the role of dietary components, physical activity, smoking and Obesity in colorectal cancer. Materials and methods: With a population-based case-control study, 49 colorectal cancer patients and 72 controls were interviewed with uniform questionnaires. Conditional logistic regression was used for multivariate analysis of colorectal cancer. A total of 121 pairs of case controls were interviewed. Results: Relationship between body mass index (BMI) and colorectal cancer was shown in this study, obesity was shown in 21 patients (42.86) before cancer and in 0% of patients during colorectal cancer. Physical activity was a significant risk factor p < 0.0001. Malnutrition was noted in 48 patients (97. 96%) according to Brachial muscular circumference in patients with colorectal cancer (p = 0.002). Daily consumption of sugar Khi² of Wald (5.423) and butter Khi² of Wald (7.694) is higher in cases than in controls. During that time, high daily consumption of pasta (p = 0.018) and vegetables (p = 0.045) was a protective factor for colorectal cancer. Conclusion: Colorectal cancer in Algeria was related to dietary and environmental factors. The research results support the colorectal cancer etiological hypothesis of deficiency vegetable and high consumption of lipids and sugar. Obesity and lack of physical activity were also correlated with colorectal cancer.
Shoulder recovery for head and neck cancer patients after unilateral neck dissection: a pilot exploratory study
Authors: Celia Ia Choo Tan , Pauline Hui Ling Yeo , Mahalakshmi Rangabashyam , Aisyah Binte Omar , Cindy Li Whye Ng , Rehena Sultana , Kevin Netto , Meng Ai Png , Rahul Nagadia , Gerald Ci An Tay , Ngian Chye Tan , N Gopalakrishna Iyer , Hiang Khoon Tan
Published: October 2022

An established side-effect of neck dissection (ND) for head and neck (HNC) tumour management includes shoulder dysfunction (SD), which can impact quality of life (QOL). Shoulder strength and range of movement (ROM) are key parameters to be monitored in SD. However, such evaluations are not routinely conducted in the clinical setting. The aim of this study was to evaluate objectively the impact of ND on shoulder functions. Methods: This is a pilot exploratory study in a tertiary cancer centre. Five participants with unilateral ND and advanced HNC, completed the study. Outcome measures consisted of self-reported QOL questionnaires, C2–T1 dermatomes and shoulder ROM and strength testing. Data was collected at baseline, 1.5-months after surgery and 6-months after diagnosis (after adjuvant treatment completion). Results: Most outcome measures on the surgically affected side were negatively impacted post-operatively, with varied recovery seen at follow-up. Sensory loss was noted at C3–4 dermatome levels. Shoulder ROM and strength was reduced on the surficial side for all participants, with some recovery after six months except for two participants. Conclusion: Results of SD after ND are diverse and unique to each patient. Findings from this pilot study indicate that regular rehabilitation/exercise may facilitate recovery of shoulder function post HNC surgery. However, customised rehabilitation may yield better outcomes. Future studies with a larger sample are indicated to validate the findings of this study.
Rehabilitation protocol with VISS system and human synergy mat in subjects with flat foot problems in developmental age
Authors: Rosa Grazia Bellomo , Claudia Barbato , Annamaria Porreca , Raoul Saggini
Published: October 2022

The flat foot can be defined as a syndrome with multiple etiopathogenesis, characterized by an altered structure of the longitudinal arch of the plantar vault with its reduction in height. The plantar arch collapse can be counteracted by strengthening the muscles involved; for many years, specific physical exercises have been proposed for this purpose in physical and rehabilitation medicine. Our work aimed to improve the plantar arch muscles’ tone using high focal vibration therapy (300 Hz). Methods: 49 children with a 3rd degree flat foot (age: 8,7,6) underwent 10 sessions, 2 days/wk, of 30 min of focused high vibratory therapy at a frequency of 300 Hz (Vissman, Italy). Before and after treatment stabilometry (StT), static and dynamic baropodometry tests were performed. Results: Evaluation of StT showed an improvement in stability and a decrease in the sway area and ellipse area. Baropodometry tests showed a decrease in foot surface. Also, dynamic tests showed a decrease in both foot surfaces. Discussion: The results lead us to consider this method as a method of the first choice for a conservative approach in the rehabilitation of flat foot syndrome and also for 3rd grade children [1,2].
METHODS OF MITIGATING ALKALI REACTIVITY OF GRAVEL AGGREGATE
Authors: owsiak Zdzisława , Czapik Przemysław , Zapała-Sławeta Justyna
Published: October 2022

Effectiveness of selected chemical admixtures and mineral additives to mitigate alkali-silica reaction was compared based on reactive gravel aggregate. Lithium compounds in the form of nitrate and lithium polysilicate were used as chemical admixtures. Natural pozzolans containing zeolite were used as mineral additive. Efficiency of the additive was enhanced by modification with ammonium ions. Linear changes of mortars with crushed gravel aggregates were studied with the accelerated and long-term methods. Additionally, scanning electron microscopy was used for microstructural observations. It was demonstrated that at elevated temperatures the application of lithium compounds provided better protection. Under conditions similar to those in the field, 20-30% of natural pozzolans proved to be more effective in inhibiting the expansion. Regardless of the method of protection applied, the presence of alkali-silica reaction products was detected in the microstructure of the mortars.
Project-Based Learning for English Diploma Program Students: Implementation and Challenges in Online Learning
Authors: Puspitasari Indah , Setiawan Kristianto
Published: October 2022

The central goals of this study are to see the implementation of Project-Based Learning for English diploma program students, to see the students' perceptions toward the implementation of project-based learning, and to see the challenges of its implementation in online learning. The research method is a descriptive qualitative method that used Stoller and Simpson theories to analyze the implementation of Project-based Learning in online learning. The results of this study show that 77.1% of respondents are satisfied with the implementation of project-based learning. They also obtained 82.07, which means the students are able to achieve the learning outcome very well. There are some challenges in implementing project-based learning in the pandemic era. They needed autonomous learning methods, especially in mastering language skills, knowledge, and IT skills. However, to achieve learning outcomes and to solve the problems, the students independently discussed and worked together in their group to finish their project. The effect of this process, students are more independent, critical, communicative, and creative in working on the project. Based on the positive findings, project-based learning becomes one of the alternative methods for assisting English diploma program students in acquiring 4Cs.
An Analysis of the Relationship between Electronic Warehouse Receipts (EWR) Indices and the US Dollar Index and the Dollar Lira Exchange Rate Using Symmetric and Asymmetric Causality Tests
Authors: MOLLAAHMETOĞLU Ebubekir , YASAR AKCALİ Burcay
Published: October 2022

Contractions in production volume and supply chain disruption experienced by all economies in recent years caused by the Covid-19 epidemic or geopolitical tensions together with the factors such as food safety and climate change have been effect instability in agricultural product prices. For these reasons, compulsory transformations in all sectors or disruptions in the markets are also observed in the food sector. This study investigates the causality between the Electronic Warehouse Receipt (EWR) index for Cereal, Wheat, Barley, and Corn products calculated by the Turkish Mercantile Exchange (TMEX) with the US Dollar Index (DXY) and Dollar Lira (USD/TRY) exchange rate using daily datasets for the period 01.04.2021-09.05.2022 with the Toda-Yamamoto causality test and the Hatemi-J asymmetric causality test for the existence of asymmetric information. The results provide evidence of bi-directional causality between the Dollar Lira (USD/TRY) rate and the Grain index and a uni-directional causality from the Dollar Lira (USD/TRY) to the wheat index, barley index, and corn index. Moreover; it has been concluded that the Wheat index reacts with a positive shock if there is a negative shock in the US Dollar Index (DXY) and Dollar Lira (USD/TRY).
SoC FPGA-Based Rapid Prototyping of Compressed, Secured and Wireless Image Transmission for Wildlife Surveillance System
Authors:   UniversitiTun Hussein Onn Malaysia (UTHM), Mohd Nadzri Muhammad Muzakkir , Ahmad Afandi ,   UniversitiTun Hussein Onn Malaysia (UTHM)
Published: October 2022

Wildlife plays an important role in balancing the earth’s ecosystem. Today, many species of wildlife are threatened with extinction. Images are important input data for wildlife surveillance technology,whichallowsreal situations in the field to be observed and analysed. This project proposed a wireless transmission systemof compressedandsecured imagesusing the SoCFPGA platformfor improving the existing systemin terms of image data collection. Image compression ensuredthat the proposed system wasefficient in terms of data processing, transmission and storage. Image data encryption aimed at ensuring that the security of the transmitted image data would not be hijacked by poachers or non-authorities and ultimately this system wouldtransmit compressed and secured images wirelessly to provide real-time data. The prototype usedLabVIEW 2017 software and NI myRIO (as image transmitter) and a computer (as image receiver) hardware. This platform has been utilisedfor the development of the architectural design of a compression system using the discrete cosine transform (DCT) method, the development of an encryption system using the advanced encryption standards (AES) method and wireless transmission using Wi-Fi. The implementation of DCT on the field-programmable gate array (FPGA) platform allowedthe imagesto be compressed by an average of 44% to shortenthe time used in the transmission process. The AES method guaranteeddata security with images that can only be viewedwhenusing the correct password. Combining both the DCT and AES methods, the rapid prototyping of the wireless transmission of compressed and secured images for a wildlife surveillance system equippedwith a motion sensor and a camera was developed to detect motion, capture imagesand transmit three (3) different image resolutions atdistances of up to 60m.
Intelligent Electrical Device Load Scheduling for Building Energy Management
Authors:   Telkom University, Setianingsih Casi , Murti Muhammad Ary ,   Telkom University, Saputra Randy Erfa ,   Telkom University, Ilham Willy Mochamad ,   Telkom University, Nurhadi Mohammad Iqbal ,   Telkom University
Published: October 2022

Currently, electrical energy is one of the primary needs in everyday life. Almost every device used for daily life uses electric power. However, the lack of user awareness in electronic devices can cause monthly electricity bills to be out of control, both in-office and residential areas. To improve the efficiency of electrical energy use in offices and housing, we designed a management system and control of daily electricity consumption so that it does not exceed the target of the monthly electricity bill. In this system, we integrate the priority of electronic devices into the optimization algorithm. This system uses a priority queue algorithm and genetic algorithm in scheduling electronic devices optimally. The system was created in the form of a website to limit the use of electrical energy by optimizing device scheduling. The method used is the Genetic Algorithm to calculate the duration of use of each electrical device so as not to exceed the predetermined monthly budget limit. This method will provide a recommended number of operating hours per day for 30 days for each electrical device that has been registered in the system. At the same time, the priority queue algorithm will adjust the duration of operation of each device based on the priority order of the device. Based on the test, the optimal fitness value is in the 60th generation, with an average execution time of 0.18 seconds. In testing the rules for both methods, this system has an accuracy rate of 100%. The system has been running according to the designed regulations.
Initial Study On Safety Hazards by Heavy Transportation On Malaysian Roads
Authors:   Universiti Teknikal Malaysia Melaka, Md Yusof Hasrul Izatie , Shamsudin Shamsul Anuar ,   Universiti Teknikal Malaysia Melaka, A Rahman Norasra ,   Universiti Teknikal Malaysia Melaka, Zainal Zairulazha ,   Universiti Teknikal Malaysia Melaka, Ahmad Al_Issa Huthaifa ,   Al Balqa Applied University
Published: October 2022

A pilot study was done to evaluate several road safety issues in Malaysia that arerelated to heavy transportation. The project consisted of survey, analyticalcalculations, and computer simulations. The survey was conducted to investigate the use of current active safety features like the warning signs, which include lights, light reflective stickers, and the color of canvas used on heavy vehicles. There were 55 responses collected that showed visibility of trucks was a problem in the dark.Fortunately, light reflective stickers could be an aid to passively illuminate the heavy vehiclesand this has become lawin Malaysia.Another issue is the slow speed like 40km/h commonly maintained by heavy vehicles when climbing up hills with heavy load, whichisa hazard since being too slow may cause a more severe rear-end collision damage. Additionally, computer impact analyses were also done by using ABAQUS, where severalrear-end collisions betweena car and a heavy vehicle were studied. Hence, aconclusion can be made that the slower the speed of a heavy vehicle, the higher the impactexperienced by the car colliding from behind the truck.It is recommended that a longtrailertruckhas about 310kW of enginepower to pull a maximum load of 30,000 kg. Trucks are also suggested to maintain at least 60 km/h speedduring hill climbing with a much lower load.
Investigating The Load Carrying Capacities of Lightweight Foamed Concrete Strengthen with Fiber Mesh
Authors:   Universiti Sains Malaysia, Mat Serudin Anisah , Mydin Md Azree Othuman ,   Universiti Sains Malaysia, Abdul Ghani Abdul Naser ,   Universiti Sains Malaysia
Published: October 2022

Lightweight foamed concrete (LFC)iswell known as a low-density concrete witha wide range of applications. However, since its weightisalmost half that of conventional concrete, its strength can also be expected to be lower than that of normal concrete. Thus, short fibres (synthetic and natural fibres) were used by previous researchers to improve the performance of LFC. Even though therewere improvements in its mechanical properties, yet these had a negative impact on its durability in the long term due to the deterioration of the fibres.Recently, the use of fibermeshasa reinforcing element has gained considerable attention.Thus, the aim of this research was to perform anexperimental investigation to establish the load carrying capacitiesof fiber meshreinforced LFC. In this research, LFC specimenswere designed withdensities of 650 kg/m3, 1150 kg/m3and1650 kg/m3with a constant cement-to-sandratio of 1:1.5, and cement-to-water ratio of0.45. The fiber meshselected for this research hasaweightper area of 145g/m2. The number of layer(s)for the observed confinement was detaileddown to its effect on the performance of the LFC. The load carrying capacitiesof the LFCwereexamined undercompression, bending and tension. Overall, the reinforcement with fiber meshimproved theload carrying capacitiesof the LFC.A confinement with 3 layers of fibermeshshowed significant results, where enhancements of 153% (650 kg/m3), 97% (1150kg/m3), and 102% (1650 kg/m3) were obtained for the load carrying capacity in compression; 372% (650 kg/m3), 258% (1150 kg/m3), and 332%(1650 kg/m3) for theload carrying capacity in bending; and 507% (650 kg/m3), 343% (1150 kg/m3), and 332% (1650 kg/m3) for theload carrying capacity in tension, respectively, compared to the control LFC.
A Comparative Study of Deep Learning Model and Simple Prediction Charts in Construction Noise Prediction
Authors:   University Tunku Abdul Rahman, Ooi Wei Chien , Lim Ming Han ,   University Tunku Abdul Rahman, Lee Yee Ling ,   University Tunku Abdul Rahman
Published: October 2022

Construction noise monitoring is crucial to assess the impactsof construction noise onthe workers and surroundings. However, the existing noise prediction methods are time-consuming in which required laborious work for the computation of the noise levels. This study aims to assess the accuracy andreliability of the deep learning model (DL) that adopted the stochastic modelling and artificial neural network (ANN) in construction noise prediction. The artificial neural network was trained with the output of stochastic modelling. The outcome of noiselevel prediction using simple prediction chart (SPC) and DLmodel wasdiscussed and compared to 3 case studies. The case studies were conducted at construction sites located in Semenyih,Selangor,Malaysia. The results of DL model showed high accuracy of predicted noise levels along with an absolute difference of less than 2.3 dBA. Besides, the predicted noise levels are reliable as the R-squared value was high. On that account, DL model is proved to be reliable and accurate in noise level prediction and it has the potential to be utilized as a managerial tool to monitor construction noise more effectively.