bluuebunny/crossref_metadata_2025 huggingface dataset:
Physics-informed machine learning in the determination of effective thermomechanical properties
Authors: SOYARSLAN C.
Published: April 2023

Abstract. We determine the effective (macroscopic) thermoelastic properties of two-phase composites computationally. To this end, we use a physics-informed neural network (PINN)-mediated first-order two-scale periodic asymptotic homogenization framework. A diffuse interface formulation is used to remedy the lack of differentiability of property tensors at phase interfaces. Considering the reliance on the standard integral solution for the property tensors on only the gradient of the corresponding solutions, the emerging unit cell problems are solved up to a constant. In view of this and the exact imposition of the periodic boundary conditions, it is merely the corresponding differential equation that contributes to minimizing the loss. This way, the requirement of scaling individual loss contributions of different kinds is abolished. The developed framework is applied to a planar thermoelastic composite with a hexagonal unit cell with a circular inclusion by which we show that PINNs work successfully in the solution of the corresponding thermomechanical cell problems and, hence, the determination of corresponding effective properties.
Through process stochastic model of hot strip rolling
Authors: SZELIGA D.
Published: April 2023

Abstract. Advanced numerical models, which predict heterogeneity of microstructural features, are needed to design modern multiphase steels. Models based on stochastic internal variables meet this requirement. Our objective was to account for the random character of the recrystallization and to transfer this randomness to equations describing the evolution of the dislocations and the grain size during hot deformation. The idea of the internal variable model with the dislocation density and the grain size being stochastic variables is described briefly in the paper. Histograms of the grain size measured in the experimental compression tests were used to identify the coefficients in the model. Inverse analysis with the objective function based on the distance between histograms was applied. The model was used to simulation of the various technological routes in the industrial process of the hot strip rolling.
Unconventional method for recycling CFRPs by using a milling process
Authors: BOCCARUSSO L.
Published: April 2023

Abstract. Composite materials are increasingly employed in many industrial sectors (transportation, infrastructure, electronics). Among the others, carbon fibers are used primarily as reinforcing agents in high-performance composites with synthetic resin matrices such as epoxies, polyimides, vinyl esters, phenolics, and certain thermoplastics. However, when carbon fibers were coupled with a thermosetting matrix, the resulting composites are not easily recyclable. When these products reaching their end-of-life (EoL) there are several difficulties in their recycling and in the reuse of the carbon fiber reinforce. There are several recycling process methods, but one of the most promising and investigated in the last years is the mechanical one that differently from other approaches do not require the use of high temperature or chemical substances to decompose the polymeric matrix. Respect to known mechanical recycling methods like shredding, crushing and hammer milling process, in this work is presented a mechanical recycling that mainly consists in the use of an un-conventional milling process in order to obtain carbon/epoxy chips. Different chips in terms of geometry and size were obtained by fixing the milling process parameters, so the results in terms of chip morphological characteristic were presented. CFRPs chips, after sieving, were then used to manufacture new CFRPs laminates produced starting from recycled materials.
Generating STL for forming trabecular bone structure in additive manufacturing using cell dynamics modeling
Authors: ROCHA A.
Published: April 2023

Abstract. There are two types of structures in bone with different densities: cortical bone, a denser region, and trabecular bone, a porous part. Poly(lactic acid) - PLA, a biopolymer widely used in additive manufacturing (AM), can be applied for fabricate products for medical and dental applications since it is biodegradable and biocompatible to several mammalian cell lines. This article proposes a methodology for generating STL to produce by AM a structure with geometry similar to that of trabecular bone using a mathematical model that describes the population dynamics of bone cells. Bone density values obtained by solving the differential equations model with finite differences are used to develop a mesh surface. This surface is converted into a binarized mesh using a binary algorithm and, finally, the STL file is obtained by applying the multidimensional arrays tool from Matlab® software. The produced file is analyzed by BoneJ® using the same procedure currently applied for bone tomography to obtain some geometry parameters as trabecular thickness, trabecular separation, bone fraction and connectivity; and the degree of anisotropy. 3D Printed samples were successfully produced by Fused Filament Fabrication (FFF) using PLA filament. It was noticed that the produced structure is similar to the morphology of the trabecular part of the femoral head, comparing the different strategies of obtain STL and real bone tomography.
Exploring sheath-core yarns technology to optimise bio-composite performances
Authors: QUEREILHAC D.
Published: April 2023

Abstract. This work focuses on the design and fabrication of a continuous filament made of flax yarn and bio-based thermoplastic polymer. For this purpose, the sheath-core process has been explored by using an extrusion laboratory line equipped with a wire coating die to manufacture a flax core coated with PLA. The polymer properties were investigated (thermal transition, mechanical properties, melt viscosity) to link the polymer properties, the process and the properties of the resulting filament. The filament diameter decreases and surface defects appear when the pulling speed increases. The mechanical characterization of flax/PLA filaments demonstrates a higher elastic modulus, higher stress at break and lower strain at break as compared with pure PLA filaments. Such PLA coated flax filaments are a relevant option to widespread the use of biobased composites.
Experimental measurement of CF/PEKK tapes heating behavior in the laser assisted automated fiber placement process
Authors: LE LOUËT V.
Published: April 2023

Abstract. This work takes place within the framework of the study and control of heat transfer taking place during the heating stage of the Laser Assisted Automated Fiber Placement (AFP) process. Understanding the interaction between the composite tape and the incoming laser radiation is a cornerstone for controlling the thermal history of the laminate. Laser incidence, fibre orientation and lay-up velocity have long been identified as key factors influencing the laser absorption by the composite and its increase in temperature. For the sake of simplicity, homogenous model is often used to describe phenomena inside the composite. However, the study of the radiative behaviour of laminates and tapes has shown that absorption occurs over a volume whose size depends on the carbon fibre architecture within the polymer matrix. Investigating heat transfer at micro scale is then crucial to fully understand the thermal phenomena occurring in the AFP process. In order to investigate heat transfer according to process parameters and especially to the orientation of the tape, a specific bench is developed in order to perform static heating a single composite with a laser diode. A full calibration of the bench was first performed including the response of the IR camera as well as the shape and power imposed by the laser source. Then, measurements for several orientations of the tape (0°,45° and 90°) were performed and thermal response measured and analysed.
Analysis of tool heating in cold forging using thin-film sensors
Authors: GRÖTZINGER K.C.
Published: April 2023

Abstract. Data acquisition and data analysis to gain a better process understanding are one of the most promising trends in manufacturing technology. Especially in cold forging processes, data acquisition close to the deformation zone seems challenging due to the high surface pressure. Thus far, process parameters such as die temperature are mainly measured with state-of-the-art sensors, including standard thermocouples, which are integrated into the tooling system. The application of thin-film sensors has been tested in hot forging processes for local die temperature measurement. However, the process conditions regarding tribology and tool load in cold forging are even more difficult. In this contribution, the use of thin-film sensors, applied on a cold forging punch for cup backward extrusion, is subjected. The aim is to investigate the applicability of such thin-film sensors in cold forging with special emphasis on temperature measurement in cyclic forming processes. The thin-film sensor system and its manufacturing procedure by vacuum coating technology combined with microstructuring are described. With these thin-film sensors the cup backward cold extrusion of steel billets was investigated experimentally. Cyclic tool heating simulations with thermal parameter variations were performed as a reference to experimental results.
Experimental analysis on the influence of freeform bending on Barkhausen noise for steel tubes
Authors: MAIER D.
Published: April 2023

Abstract. Freeform bending with a movable die makes it possible to bend complex structures and seamless radii without changing the bending tools. Currently, most research focuses on minimizing the geometrical deviations without considering the mechanical properties of the bent tubes. A previous work showed, that the geometry can be decoupled from the mechanical properties with non-tangential bending [1]. The implementation of a soft sensor based on ultrasonic contact impedance measurements (UCI) of the property-controlled freeform bending has also been examined [2], as well as a structure for closed-loop control based on material properties [3]. The present work deals with a micro-magnetic sensor and Barkhausen noise (BHN) and investigates its suitability for the closed-loop control. For this purpose, different processing routes for freeform-bent steel tubes are experimentally investigated by their characteristic BHN. In addition to an existing simulation model, a data basis for the impact of freeform bending parameters is built to extend the existing model of a property-based closed-loop control.
Modeling of 3D fluid-structure-interaction during in-situ hybridization of double-curved fiber-metal-laminates
Authors: POPPE C.
Published: April 2023

Abstract. Fiber-metal-laminates (FML) provide excellent fatigue behavior, damage-tolerant properties, and inherent corrosion resistance. A 2017-developed single-step process that combines deep-drawing with simultaneous infiltration (in-situ-hybridization) yields promising results. However, Fluid-Structure-Interaction (FSI) between the hybrid stack and the fluid pressure complicated the defect-free processing of double-curved parts. In this work, a Finite Element (FE) simulation approach for modeling the in-situ hybridization of FMLs is expanded to incorporate a both-sided (strong) FSI, aiming to facilitate apriori virtual support for process- and part development. Using Terzaghi's effective stress formulation, the proposed framework can predict metal sheet buckling and resin accumulation resulting from local fluid pressure during infiltration of the textile interlayers on part level. Different conditions are simulated, outlining the high relevance of considering strong FSI during process simulation. The part-level results are compared with experimental findings. Modeling challenges are discussed, along with suggested future enhancements of the simulation approach.
Modelling the forming of tailored fibre placement preforms: A tetrahedral part with final orthotropic orientations
Authors: SIMON J.
Published: April 2023

Abstract. Forming of conventional reinforcements to manufacture 3D fibre-reinforced composite parts with complex geometries is limited by the architecture of the reinforcement made of initially straight fibres. On the opposite preforms obtained by Tailored Fibre Placement (TFP) are made of curvilinear fibre tows maintained on a backing material through stitching. In theory, the degree of freedom offered by TFP allows to form doubly-curved parts from preforms whose designs are determined from the desired final fibre orientations. In practice, it requires numerical tools to determine the design of the flat TFP preforms from the desired 3D parts, known as flattening. However, flattening is a virtual process which cannot be validated directly. Besides, the behavior of TFP preforms during forming has never been studied. Consequently, developing a numerical model to predict the formability of TFP preforms was considered as of first importance. Moreover, numerical forming can be required in a flattening algorithm [1]. Based on the Finite Element Method, a TFP preform is modelled at the fibre tows scale using 2-node beam elements. The stitching yarn, which ensures the cohesion of the layers, is modelled implicitly using an embedded element approach. The backing material is removed. A full-scale simulation of forming is experimentally validated. A tetrahedral shape, which corresponds to a corner bracket, is used to demonstrate the potential of TFP preform forming. An orthotropic design of the final part is achieved without defects using a simple forming device, which represents important progress in the field [2].
Modeling multiaxial stress states in forming simulation of woven fabrics
Authors: KÄRGER L.
Published: April 2023

Abstract. During the forming of woven fabrics, different multiaxial stress states can occur, depending on the given process conditions and the complex deformation mechanisms of the interwoven structure of the textile. Particularly under constrained forming conditions, induced e.g. by blank holders or by adjacent metal layers in fiber-metal-laminate (FML) forming, the multiaxial stress states may include in-plane compression. A hyperelastic, invariant-based constitutive model has been proposed in previous work to consider such biaxial and normal-shear coupling for both positive and also negative strains. In the present work, this constitutive model is applied to forming simulation at component scale to investigate the significance of individual coupling aspects for the prediction of the forming behavior under different multiaxial stress states. For that purpose, FMLs and pure fabric laminates are formed to a tetrahedron geometry. In a comparative simulation study, the individual strain couplings of the invariant-based material model are differently activated or suppressed. The simulation results reveal that biaxial coupling has a significant effect on the draping behavior, if the draping is partially constrained. In contrast, the coupling effects are much smaller for free draping conditions.
Surrogate model of the thermoforming of fiber reinforced thermoplastics
Authors: MIDDELHOFF J.
Published: April 2023

Abstract. In the thermoforming process shearing of fiber reinforced thermoplastics (FRTP) leads to wrinkle formation and is therefore one of the most critical deformation mechanism. The target value to predict wrinkle formation is the shear angle which is considered in this paper. To predict the shear angle distribution during the thermoforming of FRTPs a Convolutional Neural Network (CNN) is used. The approach is based on the consideration of the principal curvature characteristics, resulting in the reduction of any complex geometry to planar, parabolic, elliptical, semi-spherical and hyperbolic areas. In similar research, CNNs are trained for each specific geometry. In this work, the CNN refers to a database of the mentioned curvature characteristics. In theory, all forming geometries can be created from these, which is why the CNN is enabled to predict the forming result of any complex geometry. In this paper, the benchmark geometry of a double dome is selected as the validation geometry and the error in the prediction of the shear angle is compared with the results of numerical forming simulations performed.
Chevron cracking during full forward impact extrusion of aluminum alloy EN AW 7075 in dependence of heat treatment condition and tribological system
Authors: MÜLLER M.
Published: April 2023

Abstract. In addition to the growing demand for energy efficiency, the current and future legal emission limits in the transport sector lead to an increasing demand for weight-reduced components. By substituting conventional materials with weight-reduced components, such as the aluminum alloy EN AW 7075 (AlZn5.5MgCu), emissions during vehicle service life can be reduced. Chevron cracks, also called internal cracks, can be caused by a variety of reasons during cold extrusion processes and pose a great, non-visible challenge for product quality [1]. However, the cause effect relations between the heat treatment condition and the tribological system in regard to damage development have not yet been sufficiently analyzed. In order to examine these relations, the first forming step of a ball pivot was investigated using full forward impact extrusion. Experiments with different tribological systems were investigated by varying lubricant and die treatment with regard to friction and wear reduction. In addition, the effect of the workpiece formability on crack formation was examined by comparing the T6 and soft annealed state of EN AW 7075 as workpiece materials. During this study, the microstructure of both conditions was investigated to highlight differences. A validated FE process simulation using the simulation software Forge NxT 3.2 accompanied the process in order to evaluate the stress state during the full forward impact extrusion process and its relation to the occurrence of chevron crack formation. In the experiments conducted during this study, chevron cracking occurred during full forward impact extrusion of EN AW 7075 in state T6, while in soft annealed condition none appeared. Unlike the heat treatment condition, the tribological system had no impact on the occurrence of chevron cracking but on the severity of the cracks.
Numerical study on cold extrusion of gears varying the extrusion shoulder geometry
Authors: DELIKTAS T.
Published: April 2023

Abstract. Cold forging processes, such as cold extrusion and in particular the Samanta process, provide a considerable potential for improvement in gears production. The method behind the Samanta process is based on the principle of cold extrusion in stacks. After partial forming of a workpiece, another workpiece is inserted into the die in order to eject a completely formed gear in the direction of the punch movement. Although this operating principle offers great potential for high-volume production, the industrial relevance of this process is limited by disadvantages such as high tool loads, limited gear accuracy and deformations on both face ends of the gear wheel. In order to overcome the technological challenges associated with the Samanta process, the die geometry was adapted. In this case the die operating surface was modified in terms of an extended forming zone length combined with an undercut in the tooth cavities of the die. In this paper the numerical results for this novel process regarding the correlations between geometric die parameters and resulting process data, such as punch force, contact pressure and die filling, are presented. The spline-based tool was methodically varied between one linear and two square (concave, convex) designs and was numerically evaluated using Deform 3D™ software.
Friction extrusion processing of aluminum powders: Microstructure homogeneity and mechanical properties
Authors: CHAN C.Y.
Published: April 2023

Abstract. Friction extrusion (FE) is a solid-state process categorized as an energy-efficient process, utilizing the intrinsic friction-induced heat to plasticize and manufacture fully consolidated extrudate from various feedstocks, i.e. solid billet, chips and powder. Friction in the relative motion between the feedstock and the non-consumable die generates heat as well as imposes severe plastic deformation; this combination enables dynamic recrystallization and refinement of the microstructure. This study demonstrates the feasibility of directly extruding aluminum alloy powder into fully consolidated wire in a single step process. The extrudate is free of noticeable defects and shows predominantly homogeneous microstructure along the cross-section of the wire. The powder evolution upon passing through the die orifice was investigated in terms of morphology and microstructure. Additionally, the mechanical properties of the extrudate, i.e. microhardness and ultimate tensile strength, were compared to solid billets of AA7075 in different temper states and shows adequate mechanical properties without possible post-heat treatments.
Progression of plastic die deformation during copper extrusion
Authors: LECHNER S.
Published: April 2023

Abstract. In copper extrusion, the dies are continuously subjected to high thermo-mechanical stress. This results in elastic and plastic die deformation as well as extensive wear. To estimate the strain of possible hard phase surface modifications during service, knowledge of the deformation behavior of the extrusion dies is required. Therefore, the plastic deformation of dies made of four different tool materials was investigated in the present study. The applied tool materials were hot-work tool steel 1.2367, special hot-work tool steel CS1, nickel-based alloy 2.4668 (Alloy 718) and cobalt-based alloy 2.4775 (Stellite 1). 3D scans of the dies were created, both in the initial state and after each of three extrusion cycles, utilizing structured-light scanning. The extrusion trials were carried out using an 8MN extrusion press configured for direct extrusion and billets made of commercially pure copper Cu-DHP (CW024A). By evaluation of the 3D scans, the progression of plastic die deformation was determined in dependence on the tool material. Finally, the results were compared to corresponding numerical investigations on die deformation.
Experimental analysis of cold sprayed precursors for closed-cells aluminum foams
Authors: VISCUSI A.
Published: April 2023

Abstract. Metal foams are a relatively new class of materials with many interesting combinations of physical and mechanical properties. Among them, the closed-cells aluminum foams are the most interesting for structural applications in the aerospace industry. There exist different methods to produce metal foams. An innovative manufacturing technique was developed in this study, proving the possibility to produce closed-cells aluminum foams through the cold spray additive manufacturing technology (CS). In particular, two different sets of samples were produced by varying the cold spray process parameters aiming at: i) studying the advantages and the issues of cold spray for manufacturing precursors for metal foams; ii) analyzing the correlation among the CS printing strategy and parameters, the foaming process and the physical and the morphological characteristics of the resulting foams; iii) finally, finding appropriate conditions to form closed-cells aluminum foams via CS.
Benchmarking mean-field models available in commercial FE software in application to two-blow forging of IN718 alloy
Authors: RESHETOV A.
Published: April 2023

Abstract. This paper analyses the potential of standard mean-field models available in commercial FE software Deform®, Forge® and QForm® for a microstructural prediction during multistage forging process of Inconel 718 at conditions close to industrial ones. The special set of experimental trials including heating, forging, reheating and final forging were conducted on 5 MN hydraulic press with detailed measurements of temperature distributions, timings and forging parameters. The microstructure distribution was investigated after each stage of the process (optical and EBSD) and compared with the predictions obtained in three softwares. Standard and optional capabilities as well as limitations and challenges of the models were investigated, and some improvement ideas were proposed.
Process-dependent material characteristicsof dmls-manufactured specimens
Authors: ZETTEL D.
Published: April 2023

Abstract. Direct metal laser sintering is a 3D-printing technology involving a multitude of physical phenomena requiring the fine-tuning of multiple parameters (e.g., laser power, layer thickness) to achieve satisfying fabrication results [1]. Modifying each of these parameters can significantly influence the resulting material characteristics of the fabricated parts [2]. This work investigates the impact of the modification of the process parameters on the material characteristics of hardened aluminum specimens. A design of experiments was used to fabricate 85 aluminum specimens using 17 printing parameter sets. The specimens’ dimensional accuracy, surface roughness, hardness, density, porosity, and thermal conductivity were investigated. Standardized, as well as self-designed test setups were used for this purpose. Furthermore, porosity measurements and microstructural investigations were performed using scanning electron microscopy and reflected light microscopy.
Damage prediction in roll forming of the high strength aluminum alloy AA7075
Authors: SUCKOW T.
Published: April 2023

Abstract. The high-strength AA7075 alloy offers great potential for lightweight construction thanks to its high specific strength. However, high strength and low ductility are challenging for forming the material in the peak-aged T6-condition in terms of material failure and springback. Therefore, this alloy is usually formed in temperature-supported process routes, which poses major challenges for process design. For cold forming of the alloy in the T6-condition, a reliable prediction of material failure is required in terms of process design. Within this study, this is achieved by applying the modified Mohr-Coulomb (MMC) criterion and an increment based damage evolution rule to the FE-model. To validate the failure prediction and verify the general applicability to different profile geometries, two U-profiles and a V-profile are roll formed. Failure occurs during forming for all profile geometries and the experimental results show a good agreement with the failure prediction. The quality of the damage prediction strongly depends on the calibration for the MMC criterion and the setup of the FE-model, depending on the mesh size and the element type used.
Deformation analysis of ZnMgAl coated steel sheet using digital image correlation (DIC) system
Authors: LISIECKA-GRACA P.
Published: April 2023

Abstract. Protective metallic coatings may be applied to the finished tubes and pipes using the hot dip method or may be applied to cold rolled sheet that is then used in the roll forming process of tubes manufacturing. In the latter case applied coating must ensure the proper adhesion and lack of cracks during deformation. In this work, the main objective is to assess the plastic deformability of steel sheets covered with an advanced ZnMgAl coating. The assessment of the susceptibility of the ZnMgAl coatings to plastic deformation was carried out using three-point bending tests, supported by the digital image correlation technique. A standard bending test of a steel sheet with a ZnMgAl coating at different bending angles was also used. The comparison of the results of the tests carried out allowed for the formulation of conclusions for direct use in industrial practice.
Specific behavior of high-manganese steels in the context of temperature increase during dynamic deformation
Authors: JABŁOŃSKA M.B.
Published: April 2023

Abstract. In recent years, a development of AHSS steels for manufacturing parts for the automotive industry is the observed trend. The high-manganese steels with aluminium and silicon addition, exhibiting twinning induced plasticity (TWIP) effect, are one of the most interesting modern materials, due to their unique combination of both very good strength and great ductility. However, the material behaviour during plastic deformation depends not only on the chemical composition but also on deformation conditions, inter alia, strain rate and temperature. TWIP steels can be used for production of energy-absorbing parts, therefore it is very important to analyse their deformation behaviour at high strain rates. The paper presents the effect of deformation in quasi-static and dynamic conditions on the microstructure of an experimental TWIP steel. The experiments were performed on tensile testing machine and on the flywheel machine. The microstructure was analyzed by optical and scanning transmission electron microscopy. Thanks to the measurements during the quasi-static test and numerical simulations of both tensile tests, the temperature increase was determined in the sample region from which the sections for microstructural studies were taken. It was found that the temperature increase in dynamic conditions can affect the microstructure evolution in the investigated TWIP steel.
Surface topography effects on galling of hot dip galvanized sheet metal
Authors: VENEMA J.
Published: April 2023

Abstract. During manufacturing of automotive parts from hot dip galvanized sheet metal, surface asperities of the forming tools can cause breakage of small coating particles. Long and narrow scratches appear on the surface of the form part, a phenomenon known as part surface galling. Laboratory testing using a slider on sheet tests (SOST) are performed in order to investigate surface topography effects on galling. These experiments reveal the dominant effect of tool surface roughness on galling. The tool surface roughness has a large effect on the size of the detached coating particles and the distance before scratch occurrence. If the tool roughness is low enough, no surface scratch formation is observed for the investigated range of sheet surface roughness. At a high tool surface roughness scratches are observed at a very short sliding distance for all tested materials. At an intermediate tool surface roughness, the materials selected for this investigation show measurable differences but no clear trend could be identified.
Overexpression of PDL-1 is a risk factor for lymph node metastasis in cervical cancer
Authors: Analysa Analysa , Lestari Desak Putu Oki , Artha I Gusti Alit
Published: April 2023

Cervical cancer is the fourth most prevalent malignancy in women globally and and the 2nd in Indonesia. In 2008, the Indonesian Cancer Foundation projected that 52 million Indonesian women are at risk for cervical cancer, and that 36% of all cancer patients are cervical cancer patients. Increasing by 0.6% per year. There are 9,496 cervical cancer-related deaths in Indonesia, compared to an estimated 24,400 worldwide. The crude incidence rate of cervical cancer in Indonesia is 17 per 100.000 women. The majority of individuals with cervical cancer who passed away have received chemotherapy and radiation therapy. In recent years, tremendous progress has been made in immune therapy studies focused at preventing cancers from evading the immune response of the tumor. Among them is PD-I research. The association between PD-1 and its PDL-1 ligand suppresses cytotoxic T cells in the immune response to tumors. PDL-1 overexpression was also associated with a poor prognosis in a few other carcinomas. This study intends to determine whether PDL I overexpression is a risk factor for cervical cell carcinoma metastasis. Metastasis is indicative of a poor prognosis in cancer.
Development of Student Worksheets with Guided Inquiry Oriented on Reaction Rate Materials to Improve the Ability of Scientific Literacy of Pharmaceutical Vocational Students
Authors: Zahrah S. , Mitarlis M.
Published: April 2023

This study intends to describe the feasibility of student worksheets with guided inquiry-oriented reaction rate materials to improve the ability of scientific literacy of pharmaceutical vocational students. Development research methods using 4D methods defining, designing, developing, and disseminating with limited only to the developing stage. The limited test was conducted on 22 students of class XI Pharmacy Vocational High School Bina Husada Pamekasan. Instruments in this study include study sheets, validation sheets, response questionnaires and observation sheets of learner activity, and pretest post-test sheets. The results showed that the feasibility of the student worksheet developed, which is suitable for use, includes the validity of the student worksheet in terms of aspects of content, presentation, language, and graphics, obtaining consecutive percentages of 78%, 78%, 90%, and 93% with valid / very valid categories. The practicality of the student worksheets developed is practically used by reviewing the results of student responses of 98% and the results of observation of student activities by 93% with very practical categories. The effectiveness of student worksheets developed effectively by looking after learning obtained a percentage of 100% with the complete category and an average N-gain score of 0.73 with a high category.
Description of Students Learning Independence in Online Science Learning at Private MTs Nur Ikhsan Ndori
Authors: Kaleka M B. U. , Baluk A. B. , Doa H.
Published: April 2023

This study aims to describe students learning independence in online science learning in class XI MTs Swasta Nur Ikhsan Ndori. This type of research uses descriptive research. The subjects in this study were grade IX students of MTs Nur Ikhsan Ndori. While the object in this study is a description of student learning independence in online science learning. The data collection technique in this research is a questionnaire. The results obtained from this research show that students' learning independence in online science learning is categorized as good, with the acquisition of the percentage of each indicator, namely for the confidence indicator, the percentage is 66% in the good category, the active indicator in learning is 54% in the sufficient category, and the indicator for discipline in learning is sufficient. learning has a percentage of 54% in the sufficient category, the responsibility indicator with a percentage of 57% in the good category, and the initiative indicator with a percentage of 59% in the good category. The average percentage gain of the five indicators is 58%. This shows that the learning independence of students at MTs Nur Ikhsan Ndori is categorized as good.
What drives selection decisions of private universities in Jakarta?
Authors: Waluyo Tri , Kadir Abd. Rahman , Kadir Nuraeni , Aswan Andi
Published: April 2023

In many circumstances, the issues of competitiveness and selection decisions are becoming more important as a strategic focal point of the institutional function in higher education (HE). With the implementation of a social market economy in Indonesia, as an intermediary stage between socialism and capitalism, the need to incorporate competitiveness within an institutional role becomes more pressing. Despite the fact that private higher education in Indonesia grew steadily, there has been no published research on the competitiveness of private higher education. The purpose of this study is to examine the assessment of the competitiveness and selection decision of private universities (PTS) and the implications for the decision to attend a private university. The sample size is 300 students who choose to continue their education at PTS as part of the Higher Education Service Institute (LLDIKTI) Region III Jakarta. We employed the Analytical Hierarchy Process (AHP), the SWOT analysis, and the Business Model Canvas. The AHP results showed that a variety of variables could be utilized to choose private universities in LLDIKTI Region III Jakarta. Meanwhile, the SWOT analysis findings were located in the third quadrant (defense). In this situation, private universities have a big market opportunity, yet there are hurdles inside the private universities themselves. As a result, the PTS strategy should focus on minimizing internal PTS issues in order to capture the greater possibilities to compete with other PTS in LLDIKTI Region III Jakarta. Furthermore, the results of the business model canvas analysis proved that optimizing the role of websites, social media, alumni, scholarships, and competitiveness was expected to be able to make private universities superior and of high quality through the provision of accurate, fast, and easy information and communication channels that followed the technological developments and needs, as well as customer segments.
Patients With Cardiovascular Disease Revisiting Specialist Physicians via Remote Treatment: Interview Study of Experiences
Authors: Ek Charlott , Liljegren Per-Daniel , Edin-Liljegren Anette
Published: April 2023

Background

Access to health care for an aging population with growing needs presents major challenges in northern Sweden’s sparsely populated regions. Few people, the lack of professionals, and long distances make it difficult to provide health care on equitable terms according to the Swedish legislation. Remote treatment (RT) using information and communication technology has been suggested to overcome these difficulties, and person-centered care (PCC) is a desired philosophy to improve the quality of health care. However, there is scarce knowledge about how patients experience RT meetings.

Objective

This study aimed to describe the experiences of patients with cardiovascular disease revisiting specialist physicians via RT guided by a PCC perspective in northern Sweden’s sparsely populated regions.

Methods

A qualitative study was conducted based on interviews with 8 patients with cardiovascular disease revisiting their physician through RT, from a digital health room to a health care center or from a health care center to a hospital. The interviews were recorded, transcribed verbatim, and analyzed using inductive content analysis. The results are discussed from a PCC perspective.

Results

The analysis resulted in 6 categories: good accessibility, safety with good relationships, proximity and distance with technology, habit and quality of the technology facilitating the meeting, cherishing personal integrity, and participation in own care. These categories were interpreted as the theme, participation and relationships are important for good and close care via RT.

Conclusions

The study shows that participation and relationships are important for good and close care via RT. To improve the quality of an RT meeting, PCC can be applied but needs to be extended to the digital domain—electronic PCC, especially the communication component, as it is the most salient difference from a face-to-face meeting. Important factors that should be considered before, during, and after the RT meeting have been identified.
Internet-Based Parkinson Severity Assessment Tool: Validation Study (Preprint)
Authors: Fox Devon J , Weaver Caleb , Farahnik Joshua , Park Sarah JaeHwa , Mischley Laurie K
Published: April 2023

BACKGROUND

An enhanced understanding of Parkinson’s disease (PD) in recent years has led to the revelation that the motor symptoms by which we’ve been defining and describing PD are late-stage, downstream consequences of a degenerative process decades in the making. The objective outcome measures traditionally used in clinic and PD research rely heavily on motor symptoms and have been shown to lack sensitivity early in the disease. The Patient-Reported Outcomes in PD (PRO-PD) scale is an entirely subjective, patient-centered tool designed to be useful to patients, providers, and researchers as a remote patient monitoring system.

OBJECTIVE

The goal was to create a continuous outcome measure that does not require a clinic visit, is sensitive early in the disease, does not fluctuate throughout the day, captures severity of both motor and non-motor symptoms, and correlates with quality of life (QoL) and existing measures of severity.

METHODS

Two datasets were used with a total of 13,349 participants with PRO-PD scores. Data quality, feasibility, Cronbach’s alpha, and confirmatory factor analysis was conducted. Longitudinal analysis to determine change over time was completed. Response to change was evaluated by initiation of levodopa.

RESULTS

The PRO-PD scale shows acceptable validity with a 95.1% completion rate, non-significant floor and ceiling effects, acceptable skew and kurtosis, Cronbach’s alpha of >0.75 for the total scale and subscales with acceptable unidimentionality (r between 0.37 and 0.84). Confirmatory factor analysis (CFI = 0.841, Tucker Lewis Index = 0.829, SRMSEA = 0.054) shows room for improvement for factors. Responsiveness has been shown by mean change per year in PRO-PD score of 38 (±14) and significant improvement in PRO-PD score with initiation of dopamine replacement therapy.

CONCLUSIONS

These analyses suggest the PRO-PD is a feasible and valid tool for remote patient monitoring in PD.
An Important Historical Milestone: The Classification of the Cubic Equations
Authors: M. Izmirli Ilhan
Published: April 2023

This article investigates the use of the history of mathematics as a pedagogical tool for the teaching and learning of mathematics, using the history of the cubic equation as a specific example.Cubic equations arise intrinsically in many applications in natural sciences and mathematics. For example, in physics, the solutions of the equations of state in thermodynamics, or the computation of the speed of seismic Rayleigh waves require the solutions of cubic equations. In mathematics, they are instrumental in solving the quartic equations, for in the process, these are reduced to cubic equations. The impossibility of trisecting an angle or doubling a cube using only a straightedge and compass is equivalent to solving some cubic equations. As the name implies, the cubic spline approximation, an important tool in numerical analysis, also entails working with cubic functions. Although cubic equations were explored by the ancient Babylonian, Greek, Chinese, Indian, and Egyptian scholars, it took the collective work of many well-known mathematicians such as Diophantus, Archimedes, Fibonacci, del Ferro, Khayyam, Tartaglia, Cardano, Viète, Descartes, and Lagrange to finally obtain a full solution. Our goal in this paper is to investigate one of the most formidable steps in this extensive and prolific history, namely the complete classification of the cubic equations by Omar Khayyam in eleventh century, who was the first scholar to classify cubic equation and hence facilitate a methodical and logical approach to obtaining a general solution.
Multiprofessional Care for a Patient with Gestational Diabetes
Authors: Nogueira Vitor da Costa , Brito Eleonam Cleysson Tavares , Noronha Jéssica Fernanda Mateus , Netto João Baptista de Castro , Silva João Guilherme Barroso e , Filho Marco Antonio Miranda Pereira , Guimarães Maria Clara Mapurunga , Sampaio Maria Heloise Rosende , Rocha Pedro Assis , DE lira Pedro Augusto Ximenes , Martins Luis Felipe Cutrim
Published: April 2023

The gestational diabetes is a complication that occurs during pregnancy characterized by an increase in the glycemic index (increase in blood sugar level) discovered for the first time during pregnancy. Objective: to describe the importance of multidisciplinary care for pregnant women with diabetes. Methodology: this was an integrative literature review with a qualitative approach. Results: The teamwork of points out assistance strategies, health maintenance and quality of life, pointed out the main health education actions based on scientific technical knowledge and skills of multidisciplinary competence to develop health education that contribute to the effectiveness of self-care by through modifying or maintaining healthy habits and strengthening self-confidence. Conclusion: It is necessary to prioritize actions related to health promotion and prevention of complications, making educational interventions essential in care, favoring the empowerment of people with chronic conditions.
ЛИНЕЙКА НАВИГАЦИОННЫХ И ТЕЛЕМАТИЧЕСКИХ МОДУЛЕЙ. МОДУЛИ БЕСПРОВОДНОЙ СВЯЗИ СТАНДАРТА LTE
Authors: Чикваркин И.
Published: April 2023

В АО «НИИМА «Прогресс» разрабатываются модули стандарта LTE на отечественной ЭКБ для массовой навигационно-­связной аппаратуры. Приведены общие характеристики, внешний вид и габаритные размеры модулей, а также результаты, полученные на стадии разработки.
Build a Recommendation System for Movies or Books
Authors: Singh Abhay Pratap , Sharma Mukul , Chauhan Ashish , Soni Kamal
Published: April 2023

Abstract: These days everyone will change their life style to search the movies on the internet. They will provide the information of their preferences which the y like to watch. There are many recommended and popular system is applied to search their favorite things like books, articles music videos, movies etc. these paper we are proposed a movie recommendation system. It will be working on the various filter or collaborate filter method that will collect and gave the information to the user and it will also analyzes the user and gave them the best movies to there users at that time. We sorted the movies according to the user recommendation of the previous users preferences so for these purpose we use k-means algorithm. Movie recommendation system can also help the user to find the choices of there movies are based on there previous experiences and manners without wasting its useless time on the browser to search their best movies. It will give us various type of previous recommendation using customized the database. then the user can browse it easily and choice his best movie
Detection of Kidney Disease Using Machine Learning
Authors: Sruthi T. , Yaswanthi S. , Sri T. Bindu , Tualsi V. , Kumari R. Prasanna
Published: April 2023

Abstract: Severe Damage to the kidneys occurs as a result of chronic kidney disease (CKD). It is a widespread health issue thatis causing many people to pass up their prime years of life. Unlikeother diseases, which may be treated if detected in the early stages, 40% of people with CKD are oblivious to the disease present. In order to determine if a patient has CKD or not, blood pressure, diabetes status and other CKD related data are obtained from participants in this study. In order to solve the issue and identify the disease at an early stage, the use of various machine learning techniques including Random Forest, Support Vector Machine and Naïve Baye’s techniques are suggested in this study. In this study,the CKD dataset is used to determine if a person will be affected in the near future.
A Comparative Study of Regulations of Nasal Products in the US and EU
Authors: Jaiswal Sandhya , Sharma Parshant , Qureshi Heena
Published: April 2023

A study relating to the regulation for nasal products has been conducted for the current review. The analysis emphasized the significance of classifying nasal products. Nasal products are challenging to manufacture in India due to regulatory and logistical issues. In addition to the production guidelines established by the USFDA and EU, the study analyses the prospects for nasal products in the future. Some common policies held by the 2 major international agencies have been shown in this review.

The current evaluation focuses on how nasal product production should be done in conjunction with other product production and will examine the fundamental recommendations made by the USFDA and EU, as well as whether or not there is a specific category of recommendations for nasal products.

Conclusions

The article demonstrates the USFDA and EU guidelines, and it was found that there were not major differences between the guidelines of the two. Instead, there are only minor differences between the infrastructures of the two agencies related to nasal products.