bluuebunny/crossref_metadata_2025 huggingface dataset:
Importancia de la motivación de las resoluciones
Authors: Liza Castillo Luis Manuel
Published: January 2023

La debida motivación de las resoluciones es el derecho constitucional que tienen los ciudadanos de conocer las razones fácticas y jurídicas que las autoridades y los funcionarios, especialmente los del aparato estatal, adoptan para resolver las pretensiones, donde sus intereses se encuentran comprendidos. Este derecho es componente del debido proceso, llamado también proceso justo, expresión de la tutela procesal efectiva. Entre ambas instituciones existe una relación de género a especie y, en consecuencia, están íntimamente ligadas; por tanto, una indebida motivación importaría una flagrante vulneración a los derechos ciudadanos. En esa línea de ideas, constantemente se escucha sobre la presentación de recursos de impugnación contra decisiones emitidas, al no estar conforme con ellas, y uno de los argumentos es la falta de motivación, por presuntamente haberse vulnerado garantías sustantivas y procesales en el decurso del proceso; apelaciones que en algunos casos son estima das por la instancia superior, al constatarse que, en efecto, los responsables de deliberar el caso actuaron normativa y procesalmente con displicencia, proyectando una mala imagen de la institución a la cual pertenecen. Así las cosas, es este el contexto que motivó el presente trabajo, cuyo objetivo ha sido describir, a la luz de la doctrina y la jurisprudencia, especialmente del Tribunal Constitucional, las características de una resolución inmotivada. Se ha encontrado que el operador puede incurrir en determinados vicios de justificación, realizando motivaciones defectuosas, insuficientes, que no guardan identidad entre lo pedido y lo resuelto, casi con ausencia de razonamiento lógico interno y escasa corroboración fáctica y jurídica; anomalías que revelarían que en algunos casos no ha existido una debida apreciación de los hechos o que la compulsación y la valoración del material probatorio no fueron las adecuadas, generando una decisión inválida cuya sanción es la nulidad y la consecuente regularización del proceso. Se desprende, a su vez, que la conducción del caso fue irregular y afectó, por ende, los intereses y las expectativas de sus titulares. Esta situación no debe presentarse, de allí que se resalte la importancia de conocer las peculiaridades de cada una de ellas para detectarlas e informar de su existencia, a fin de que la instancia correspondiente declare su nulidad, así como realizar las observaciones del caso para el funcionario que actuó indebidamente, sin perjuicio que de oficio o a instancia de parte, según la gravedad de los hechos, se deriven los actuados a otras instancias para que se pronuncien sobre otras responsabilidades a las que se hiciera merecedor.
THE PHENOMENA OF CHOICE AND DECISION-MAKING IN PSYCHOLOGICAL SCIENCE
Authors: Suntsova Ya.S. , Meshkov I.Yu.
Published: January 2023

Decision-making by a person is a complex and multifaceted phenomenon and stimulates a large number of studies in various scientific directions. Psychology occupies a leading place among them, since decision-making acts as a kind of form of personal activity, implying a variant of the organization of activities in which the choice is made in a situation of uncertainty and involves the definition of a goal, possible means and ways to achieve it, analysis of available information, building an algorithm of actions that contribute to achieving the goal and are the result of the choice made. The article presents a theoretical overview of approaches to the study of the phenomenon of choice in psychological science, describes the types of choice: simple, semantic and personal (existential); describes the parameters of the description of the subjective quality of the selection process and its result. The phenomenon of decision-making in domestic and foreign psychology is considered, the stages of decision-making by a person are described, the psychological system of making life decisions by a person is considered, the factors influencing decision-making are presented.
Evaluation of spin-transfer-torque efficiency using magnetization reversal against a magnetic field: comparison of FeCr with negative spin polarization and NiFe
Authors: Suto Hirofumi , Nakatani Tomoya , Asam Nagarjuna , Iwasaki Hitoshi , Sakuraba Yuya
Published: January 2023

We propose and demonstrate an experimental method to evaluate spin-transfer-torque (STT) efficiency in current-perpendicular-to-plane giant magnetoresistance devices, which utilizes STT-induced magnetization reversal against a perpendicular magnetic field. Using this method, we estimated the STT efficiency of FeCr with negative spin polarization, which attracts attention in spintronics applications. In comparison with NiFe with positive spin polarization, the sign of the STT induced by FeCr was opposite, reflecting the negative spin polarization. The STT efficiency of FeCr was approximately half that of NiFe at room temperature and surpassed that of NiFe at 50 K.
On the stability & phase locking to a system reference of an optoelectronic oscillator with large delay
Authors: Hasan Mehedi , Nicholls Charles , hall trevor
Published: January 2023

This paper reports the findings of a study of an optoelectronic oscillator (OEO) with large delay under proportional and proportional integral control by a phase-locked loop (PLL). The study is the first to fully account for the OEO delay in responding to a tuning stimulus including the location of all the countable infinity of poles of the system function.
Finite-time Nonlinear H∞ Control of Robot Manipulators with Prescribed Performance
Authors: Golestani Mehdi , Chhabra Robin , Esmailzadeh Majid
Published: January 2023

This letter addresses the problem of robust finite-time tracking control with prescribed performance for robot manipulators experiencing uncertain inertia, external disturbance, and actuator fault. We develop a control strategy that incorporates the nonlinear H∞ concept into the backstepping approach, using a novel virtual control, to guarantee practical finite-time convergence to a trajectory, whilst the closed-loop L2 gain is less than a prespecified value. We also use adaptive gains, instead of complex error transformations (common in prescribed performance controllers), to simultaneously impose constraints on the steady-state and transient response of the closed-loop, including maximum error, maximum overshoot, and minimum convergence rate his letter addresses the problem of robust finite-time tracking control with prescribed performance for robot manipulators experiencing uncertain inertia, external disturbance, and actuator fault. We develop a control strategy that incorporates the nonlinear H∞ concept into the backstepping approach, using a novel virtual control, to guarantee practical finite-time convergence to a trajectory, whilst the closed-loop L2 gain is less than a pre-specified value. We also use adaptive gains, instead of complex error transformations (common in prescribed performance controllers), to simultaneously impose constraints on the steady-state and transient response of the closed-loop, including maximum error, maximum overshoot, and minimum convergence rateT. The developed controller is not contingent on solving the Hamilton-Jacobi or Riccati equations and is free of the singularities associated with using fractional power in finite-time control. The performance and efficacy of the proposed control framework are demonstrated through simulation studies and comparisons with pertinent works.
Brain Tumor MRI Identification and Classification Using DWT, PCA, and KSVM
Authors: FARUQ OMAR , Islam Md. Jahidul , Ahmed Md. Sakib , Hossain Md. Sajib
Published: January 2023

 Classification, segmentation, and the identification of the infection region in MRI images of brain tumors are labor-intensive and iterative processes. Numerous anatomical structures of the human body may be envisioned using an image processing theory. With basic imaging methods, it is challenging to see the aberrant human brain's structure. The neurological structure of the human brain may be distinguished and made clearer using the magnetic resonance imaging technique. The MRI approach uses a number of imaging techniques to evaluate and record the human brain’s interior features. In this study, we focused on strategies for noise removal, gray-level co-occurrence matrix (GLCM) extraction of features, and segmentation of brain tumor regions based on Discrete Wavelet Transform (DWT) to minimize complexity and enhance performance. In turn, this reduces any noise that could have been left over after segmentation due to morphological filtering. Brain MRI scans were utilized to test the accuracy of the classification and the location of the tumor using probabilistic neural network classifiers. The classifier's accuracy and position detection were tested using MRI brain imaging. The efficiency of the suggested approach is demonstrated by experimental findings, which showed that normal and diseased tissues could be distinguished from one another from brain MRI scans with about 100% accuracy.   
CrazyKhoreia, a robotic perception system for UAV path planning from digital images
Authors: Restrepo Santiago , Romero Cano Victor
Published: January 2023

Micro air vehicles can be used for a wide range of applications, which include drone light shows for cultural or marketing purposes, or as a replacement of fireworks. However, widespread use of this technology is precluded by a usability gap between choreography design and deployment on the target drones. In order to achieve seamless deployment of micro air vehicle choreographies, computational interfaces that obtain drone trajectories from a more conventional media such as digital images are needed. In this paper, we propose CrazyKhoreia, a low-cost, computationally efficient approach to Unmanned Aerial Vehicles (in short, UAVs) choreography design, which consists of a robotic perception system that takes a digital image, applies boundary tracing to it and obtains a safely, traversable and apparently accurate waypoint matrix as a result. We validate our trajectory generation system through two modes of operation, light painting, where the UAV can either fly through all of the waypoints or multiple UAVs may be arranged to mimic the original image. The generated trajectories on Light Painting mode by physical robots are compared against the ground truth using a data association tool by the Computer Vision Group at TUM and achieved an average RMSE error of 0.4531 metres, while on Multi-Drone Formation the observed positions are estimated from photographs on actual formations, this way the system reached a mean RMSE error of 0.136 metres.
Traffic Learning and Proactive UAV Trajectory Planning for Data Uplink in Markovian IoT Models
Authors: Eldeeb Eslam , Shehab Mohammad , Alves Hirley
Published: January 2023

The age-of-information (AoI) is used to measure the freshness of the data. In IoT networks, the traditional resource management schemes rely on message exchange between the devices and the base station (BS) prior to communication which causes high AoI, high energy consumption, and low reliability. Unmanned aerial vehicles (UAVs) as flying BSs have many advantages in minimizing the AoI, energy-saving and throughput improvement. In this paper, we present a novel learning-based framework that estimates the traffic arrival of the IoT devices and optimizes the trajectory of multiple UAVs and their scheduling policy. First, the BS predicts the future traffic of the devices. We compare two traffic predictors: 1) the forward algorithm (FA) and 2) the long short-term memory (LSTM). Afterwards, we propose a deep reinforcement learning (DRL) approach to optimize the optimal policy of each UAV. Finally, we manipulate the optimum reward function for the proposed DRL approach. Simulation results show that the proposed algorithm outperforms the random-walk (RW) baseline model regarding the AoI, scheduling accuracy, and transmission power.
Wideband Array Signal Processing with Real-Time Adaptive Interference Mitigation
Authors: Whipple Adam , Ruzindana Mark , Burnett Mitchell , Kunzler Jakob , Lyman Kayla , Jeffs Brian , Warnick Karl
Published: January 2023

A hardware and software pipeline is created to perform wideband interference cancellation through real-time beamforming.
Antimicrobial efficacy of argon cold atmospheric pressure plasma jet on clinical isolates of multidrug-resistant ESKAPE bacteria
Authors: Das Sarthak , Prakash G. Veda , Mohapatra Sarita , Kar Satyananda , Bhatt Satyendra , Gautam Hitender , Singh Gagandeep , Kapil Arti , Das Bimal Kumar , Sood Seema , Xess Immaculata , Sarangi Sudhir Chandra , Mallick Saumya Ranjan
Published: January 2023

The rise in multidrug-resistant (MDR) ESKAPE bacteria have become a major therapeutic challenge globally. Recently, novel cold atmospheric pressure plasma (CAP) as an antimicrobial is becoming popular. In this study, an indigenously developed AC cold atmospheric pressure plasma jet (CAPJ) fed with argon gas was used to evaluate its antimicrobial efficacy on these bacteria isolated from clinical specimens such as urine, blood, and sputum in a tertiary care hospital in India. The difference in CAP’s antimicrobial activity on Gram-negative bacilli (MDR E. coli) and Grampositive cocci (MDR S. aureus) was observed with various input parameters, such as microbial concentration, CAP exposure time, and exposure distance. It was observed that oxidative stress induced by reactive oxygen and nitrogen species (O2-, NO+, OH., H2O2, ONOO-, NO., NO2., HO2., O3-, etc.) and electrostatic stress by ions (Ar+, O+, O2-, OH-, NO+, OH+, NO3-, NO2-, O3-, etc.) might play a crucial role in microbial inactivation. In addition to this, a decrease in adenosine triphosphate concentration post-CAP exposure in a liquid media suggested an efficient microbial inactivation effect. The outcome of this research would be extremely beneficial to multidisciplinary researchers in this field.
Twisted String Actuation Through a Conduit: Undesirable Behaviors and Pre-twist Effects
Authors: SUTHAR BHIVRAJ
Published: January 2023

Twisted string actuation through a conduit enhances flexibility, one of the most important features of twisted string actuators (TSAs). It allows remote transmission of power along an arbitrary curved surface, such as the human body, while avoiding interference with the natural movement of the wearer. However, TSAs on guided sliding surfaces or inside conduits have not been extensively investigated. This study experimentally investigates TSAs inside a conduit and its undesirable behaviors, namely, pullback and chatter, and their causes. In addition, this paper proposes a pre-twist method to overcome undesirable behaviors by introducing a certain amount of advanced twists as an initial condition to compensate for any opposite directional twist. This study also investigated the relationship between the required amount of pre-twist and string parameters (radius, length, and stroke) and external conditions (deflection angle and external load). Furthermore, an online required pre-twist estimation method is proposed to minimize the performance loss due to the present pre-twist. The feasibility is experimentally proved using a comparison study.
Wi-Fi Radio Wave-Based Continuous Zero-Effort Two-Factor Authentication Utilizes Machine Learning
Authors: AlQahtani Ali Abdullah S. , Alshyab Thamraa
Published: January 2023

Two-factor authentication (2FA) is a widely adopted security measure that requires users to provide an additional layer of authentication beyond a username and password in order to access protected resources. While traditional 2FA methods rely on the user to manually enter a code or token, the use of machine learning (ML) has the potential to revolutionize 2FA by enabling automatic and continuous verification of a user’s identity. In this paper, we propose a continuous zero effort 2FA system that uses ML to verify a user’s identity based on the unique characteristics of their environment, including beacon frame characteristics and RSSI values collected from Wi-Fi access points (APs). This system allows for seamless and automatic authentication without requiring any additional input or action from the user beyond their initial login. Additionally, the continuous authentication feature of the proposed system ensures that access to protected resources is maintained only when the user’s two devices are co-located. Through experiments, we demonstrate the effectiveness of the proposed system in determining the location of the user’s devices based on beacon frame characteristics and Received Signal Strength Indicator (RSSI) values. The proposed system offers a convenient and secure solution for 2FA that utilizes the power of ML to enable automatic and continuous authentication. Furthermore, its scalability, flexibility, and adjustability make it a promising option for organizations and users who need a secure and convenient authentication system. Finally, we have included three Python codes in the appendix, which provide further insights into our evaluation and analysis of the proposed system.
Singularity-Robust Full-Pose Workspace Control of Space Manipulators with Non-Zero Momentum
Authors: Rousso Patrick , Chhabra Robin
Published: January 2023

 We address the end-effector full-pose tracking control problem in free-floating space manipulators, experiencing constant non-zero linear and angular momentum. The aim is to develop an output-tracking (workspace) control law free of singularities due to parameterizing the end-effector motion and being robust against singularities of the input-output decoupling matrix (generalized Jacobian matrix). Space manipulators are modelled as open-chain multi-body systems with single- and multidegree-of-freedom joints, whose kinematics and dynamics are formulated on the Special Euclidean group SE(3). Such systems exhibit conserved (not necessarily zero) total momentum when operating in the free-floating regime, which we use to systematically reduce their dynamical equations by eliminating the base spacecraft’s motion. To avoid parameterizing the end-effector motion, we consider its full pose as the system output and develop a novel feedback linearization technique on the matrix Lie group SE(3) in the reduced phase space of the space manipulator. We then propose an intrinsic feedforward, feedback proportional-integral-derivative workspace controller involving a coordinate-free pose error function on SE(3) and velocity error on its Lie algebra. Using a Lyapunov candidate, this controller is proven to stabilize the end-effector pose to a feasible desired trajectory. The input-output decoupling matrix in the proposed control law can lose rank at some regions of the configuration space; hence, we implement a singularity-robust inverse, derived from the damped least squares method, to avoid impractical joint torques in these regions. The developed controller is implemented on a 7-degree-of-freedom manipulator onboard a spacecraft and its efficacy and robustness are demonstrated trough series of simulations. 
Low Order Response Model-based Secondary Control for the AC-MTDC Grids
Authors: Ancha Satish Kumar
Published: January 2023

The holistic nature of primary and secondary control leads to the satisfactory operation of the AC surrounded Multi-Terminal HVDC (AC-MTDC) grids. In this paper, a Lower Order Response Model  (LORM) is developed and utilized in the hierarchical control structure. The LORM based secondary control is proposed while operating primary control in droop for a requisite operation of the AC-MTDC grids. The objective of this secondary control is to ensure reduced frequency and DC-voltage deviation with enhanced stability of the AC-MTDC grids. Further, the stability margins of the AC-MTDC grid are identified by employing an eigenvalue analysis of the LORM. These margins decide the droop value limits, which are utilized in secondary control for the stable operation of the AC-MTDC grid. The proposed framework is validated in MATLAB and PSCAD/EMTDC co-simulation platforms while considering two case studies and an AC-MTDC test system consisting of five terminals integrated into a two-area power system.
Self-Aware SGD: Reliable Incremental Adaptation Framework For Clinical AI Models
Authors: Thakur Anshul , Armstrong Jacob , Youssef Alexey , Eyre David , Clifton David A.
Published: January 2023

Healthcare is dynamic as demographics, diseases, and therapeutics constantly evolve. This dynamic nature induces inevitable distribution shifts in populations targeted by clinical AI models, often rendering them ineffective. Incremental learning provides an effective method of adapting deployed clinical models to accommodate these contemporary distribution shifts. However, since incremental learning involves modifying a deployed or in-use model, it can be considered unreliable as any adverse modification due to maliciously compromised or incorrectly labelled data can make the model unsuitable for the targeted application. This paper introduces self-aware stochastic gradient descent (SGD), an incremental deep learning algorithm that utilises a contextual bandit-like sanity check to only allow reliable modifications to a model. The contextual bandit analyses incremental gradient updates to isolate and filter unreliable gradients. This behaviour allows self-aware SGD to balance incremental training and integrity of a deployed model. Experimental evaluations on the Oxford University Hospital datasets highlight that self-aware SGD can provide reliable incremental updates for overcoming distribution shifts in challenging conditions induced by label noise
Harmonic-Invariant Scaling Method for Power Electronic Converters in Power Hardware-in-the-Loop Test Beds
Authors: Mota Daniel , Banda Joseph Kiran , Adeyemo Ayotunde Adekunle , Tedeschi Elisabetta
Published: January 2023

Manuscript submitted to the IEEE Industry Applications Society’s Open Journal of Industry Applications on January 2023.

Abstract: Power hardware-in-the-loop (PHIL) is an experimental technique that uses power amplifiers and real-time simulators for studying the dynamics of power electronic converters and electrical grids. PHIL tests provide the means for functional validation of advanced control algorithms without the burden of building high-power prototypes during early technology readiness levels. However, replicating the behavior of high-power systems with laboratory scaled-down converters (SDCs) can be complex. Inaccurate scaling of the SDCs coupled with an exclusive focus on instantaneous voltages and currents at the fundamental frequency can lead to PHIL results that are only partially relatable to the high-power systems under study. Test beds that fail to represent switching frequency harmonics cannot be used for studying harmonic penetration or loss characterization of large-scale converters. To tackle this issue, this paper proposes a harmonic-invariant scaling method (HISM) that exploits the VA rating of preexisting laboratory SDCs for more accurately replicating harmonic phenomena in a PHIL test bench. Firstly, a theoretical analysis of the proposed method is presented and, subsequently, the method is validated with MATLAB simulations and experimental tests.
Evaluation of Energy Consumption Efficiency of an Air Diffuser in a Sewage Treatment Aeration Tank Under Standard Conditions
Authors: Park Kyuman , Kim Younghee
Published: January 2023

In 1970s, the Korean government formulated an energy saving plan, and in 1990s, they added items while implementing the efficiency rating and labeling system. According to the data released by the International Energy Agency (IEA), by 2050, energy savings by the equipment and facilities sector would account for 36% of the policy measures for greenhouse gas reduction. As such, the most useful way to reduce greenhouse gas emissions is to increase the original energy efficiency by distributing various energy-saving products through the efficiency management system. High-efficiency energy equipment certification is a system that certifies products that meet a certain standard in order to promote the supply of high-efficiency energy equipment. In the case of aeration devices, the performance and efficiency of air diffusers can be continuously managed to reduce national energy and carbon dioxide emissions. The purpose of this study is to confirm the definitive carbon reduction levels in the relevant field by examining the performance-based appropriate energy efficiency of air diffusers in aeration tanks during sewage treatment.
Evaluation of Side Effects After Heterologous Vaccination with BNT162b2 Vaccine in Healthcare Workers Vaccinated with Two Doses of Inactive COVID-19 Vaccine
Authors: Demirbakan Hadiye , Kocer Ipek , Berk Ihsan , Bayram Aysen
Published: January 2023

Objective: Vaccination is the most effective way to control the COVID-19 pandemic all over the world. We aimed to evaluate the relationship between antibody titers and vaccine side effects after the BNT162b2 vaccine was administered as a reminder dose in healthcare workers (HCW) who received two doses of inactivated SARS-CoV-2 vaccine name CoronaVac (Sinovac Life Sciences, Beijing, China).

Methods: A total of 428 HCWs participated in the study. Participants who received the mRNA vaccine as a reminder dose were evaluated with a questionnaire regarding antibody values and vaccine side effects. Three weeks after the first BNT162b2 vaccine, the same questionnaire was applied face-to-face to HCW, and the same questionnaire was applied to those who received a second reminder dose via telephone.

Results: Out of 428, 373 (87.1%) HCWs preferred one and 55 (12.9%) two doses of the BNT162b2 vaccine as reminder doses after being vaccinated with an inactivated vaccine. It was observed that side effects were more frequent in women aged 18-40 after a single dose of the BNT162b2 vaccine (p<0.001). The most common side effects are redness, swelling, and pain at the injection site, with a rate of 59.6%. Fatigue-weakness was the most common systemic reaction, with a rate of 58.6%. Axillary lymphadenopathy was observed seen in 3 (1.1%) HCWs. The median value of IgG titers in the third week after the reminder dose was found to be higher in HCW with side effects than those without side effects (p<0.001). When the cumulative incidence rate of vaccinated people was evaluated over 389 people, no cases were observed on the 14th and 30th days after the first reminder dose of BNT162b2. However, the first case was observed on the 60th day, and after the second reminder dose, cases were seen on the 14th, 30th, and 60th days.

Conclusion: Since the side effects detected after the BNT162b2 reminder dose were mild to moderate and progressed with local symptoms, it was concluded that highly protective mRNA vaccines could be safely preferred for protection from COVID-19.
A survey on Virtual Reality for Medical Applications
Authors: J. Sushmitha  , J. Disha
Published: January 2023

The evolution of low-cost Virtual Reality (VR) technology is captivating the attention of researchers and users around the globe implying that it may be the next remarkable feat in technological innovation. Healthcare is among the top 3 industries that are the leading adapters of VR technology. Extreme demand for the high quality healthcare services, increased use of connected devices in the medical field and the need to make healthcare cost-effective are the key drivers of the adoption of VR in medicine. Both medical professionals and patients benefit from the VR as it allows them to work in the computer-simulated environment explicitly devised for practices and various medical procedures. This paper intends to provide comprehensive information about the application of VR in diverse disciplines of the medical field. This review aims at investigating the past studies on VR to improvise the traditional method of treating various medical conditions.
ANALISA PERBANDINGAN SISTEM MILKRUN DAN SISTEM CROSS DOCKING UNTUK MENGURANGI INVENTORY TYPE DI PT. XYZ
Authors: Indra Gumelar  , Amir  , Muhammad Chusnan Apriyanto  , Murtalim
Published: January 2023

Sistem inventory merupakan suatu hal yang penting dalam proses operasional perusahaan, agar mendapatkan sistem inventory yang baik dan efisien tentunya mesti didukung dengan sistem distribusi yang relevan untuk mendukung berjalannya proses operasional di perusahaan, begitu pun di PT. XYZ saat ini menggunakan sistem distribusi secara direct delivery dan mengakibatkan seringnya terjadinya delay delivery dari supplier ke PT. XYZ yang dampaknya dalam beberapa bulan yang di teliti terjadi 40 cycle pengiriman delay dengan waktu kedatangan yang bersamaan, yang mengakibatkan penumpukan tyre di area inventory. hal tersebut yang menjadikan peneliti membuat analisa perbandingan dengan menggunakan sistem distribusi yang lain dari sistem direct delivery yaitu menggunakan sistem milkrun dan sistem cross docking yang dihipotesiskan akan bisa relevan dan akan lebih efektif dan efisien mengurangi permasalahan yang ada. Sistem milkrun tidak dapat mengurangi inventory tyre karena sistem milkrun hanya merubah alur transportasi tidak dengan alur distribusi sedangkan Sistem crossdocking dapat mengurangi area inventory tyre yaitu sebanyak 68 % dari kondisi sebelumnya dikarenakan sistem cross docking dalam penerapannya dapat merubah alur distribusi dan alur operasional di PT. XYZ, artinya sistem cross docking lebih efisien dibandingkan sistem milkrun untukmengurangi inventory tyre di PT. XYZ.Kata kunci: Cross docking, Milkrun, Sistem Distribusi, Inventory tyreInventory system is an important thing in the company's operational process, in order to obtain a good and efficient inventory system must certainly be supported by the relevant distribution system to support the running of the operational process in the company, as well as in PT.XYZ currently uses direct delivery distribution system and resulted in frequent delay delivery from supplier to PT.XYZ whose impact in the following few months occurred 40 cycle delivery delays with the same arrival time, resulting in tyre buildup in the inventory area.this makes the researchers make comparison analysis using another distribution system of direct delivery system that uses milkrun system and hypothesized cross docking system will be able to be relevant and will more effectively and efficiently reduce existing problems.Milkrun system can not reduce tyre inventory because milkrun system only changes the flow of transportation not with distribution flow while crossdocking system can reduce the inventory tyre area by as much as 68% from the previous condition because the cross docking system in its application can change the distribution flow and operational flow in PT.XYZ, means cross docking system is more efficient than milkrun system to reduce inventory tyre in PT.XYZ.Keywords: Cross docking, Milkrun, Distribution System, Inventory tyre
PENGARUH BENTUK PENAMPANG BLUFF BODY PERSEGI, BELAH KETUPAT, DAN SEGITIGA TERHADAP TEGANGAN LISTRIK YANG DIHASILKAN OLEH PIEZOELEKTRIK
Authors: Asep Supriadi  , Adhes Gamayel  , Murtalim  , Ujiburrohman  , Riyan Ariyansah
Published: January 2023

Piezoelektrik adalah perangkat pemanen energi skala mikro yang mengkonversikan energi mekanik menjadi energi listrik. Ketika ada tumbukan pada material piezoelektrik maka akan menyebabkan terjadinya getaran serta menghasilkan tegangan dan defleksi. Metode penelitian ini yaitu dengan mengamati piezoelektrik yang bergetar akibat aliran udara yang melewati penampang bluff body untuk menghasilkan tegangan listrik.. Dimana dimensi dan tinggi dalam satu penampang bluff body persegi, belah ketupat, dan segitiga memiliki ukuran yang sama yaitu 7 cm. Kecepatan aliran angin yang dipakai yaitu 5 m/s, 7 m/s, dan 9m/s. Penelitian dilakukan di dalam terowongan angin dan jarak penampang bluff body terhadap piezoelektrik yaitu 80 cm. Hasil dari variabel bentuk penampang bluff body yang menghasilkan tegangan listrik tertinggi yaitu pada penampang bluff body belah ketupat. Hasil dari variabel kecepatan yang menghasilkan tegangan listrik tertinggi yaitu pada kecepatan 9 m/s menghasilkan tegangan listrik 5,58 volt penampang bluff body belah keupat. Akibat adanya olakan maka sirip bergerak keatas dan kebawah menumbuk piezoelektrik.

Piezoelectric is a micro-scale energy harvesting device that converts mechanical energy into electrical energy. When there is a collision with the piezoelectric material, it will cause vibration and produce stress and deflection. This study aims to determine the effect of the shape of the cross section of the bluff body on the electric voltage generated by the piezoelectric. This research method is to observe the piezoelectric vibrating due to the flow of air that passes through the cross section of the bluff body to produce an electric voltage. The independent variables in this study were the shape of the bluff body, and the speed of the wind flow. Where the dimensions and height in one cross-section of the square bluff body, rhombus, and triangle have the same size, which is 7 cm. The wind speed used is 5 m/s, 7 m/s, and 9m/s. The research was conducted in a wind tunnel and the cross-sectional distance between the bluff body to the piezoelectric is 80 cm. The result of the variable cross-sectional shape of the bluff body that produces the highest electrical voltage is the rhombic bluff body cross-section. The result of the speed variable that produces the highest electrical voltage, which is at a speed of 9 m/s, produces an electric voltage of  5.58 volts across the body of the kept cliff. Due to the oscillations, the fins move up and down to hit the piezoelectric.
The Optimization of Vapor Compression Type for Desalination of Seawater Using the DFMA Method
Authors: Santosa Irfan , Firdaus Aditya , Hidayat Royan , Rusnoto Rusnoto , Wibowo Agus , Mubina Dewadi Fathan
Published: January 2023

The design of vapor compression type distillation using the design for manufacture and assembly (DFMA) method was discussed in this article. The efficacy of seawater desalination is the primary source of non-conventional fresh water in a large number of countries around the world. The distillation process can satisfy the demands for high-quality fresh water by utilizing seawater. DFMA is a technique for product development and improvement that could be used to simplify the manufacturing process and reduce assembly costs. This research focuses on creating an effective vapor compression-type desalination device. The DFMA method is used in this reverse engineering study. According to the findings of this study, the total assembly time of 22 components was 7932 seconds. Compared to the previous process, processing time efficiency increased by 4.1 %.
The Effect of Temperature on Tensile Strength of Polypropylene Plate Material Using Hot Gas Welding (HGW) Method
Authors: Rohman Rohman , Prasetyo Anjar , Abdulah Amri , Karyadi Karyadi , Thiyana Thiyana , Sukarman Sukarman
Published: January 2023

This study focuses on plastic welding, a technique that employs polypropylene plastic material in 3600-litre reservoir applications. The liquid pressure within it causes hydrostatic pressure in the reservoir. The pressure in the reservoir is approximately 0.01 N/mm2. This study aimed to determine how frequently polypropylene joints leak or sustain damage as a result of welding. Hot gas welding (HGW) with a v-groove connection type is employed (v-grove). Specimens of polypropylene were prepared in accordance with ASTM D638-I. In this study, the input parameters were chosen by varying the welding position and the machine's setting temperature. The results indicated that the required welding temperature for 5 mm-thick polypropylene plastic ranged between 220 and 280 degrees Celsius. In the tensile test on samples S1, S2, and S3, the average decrease in tensile strength of the three test objects was 13.84 N/mm2, 15.98 N/mm2, and 15.21 N/mm2, respectively
The Design of a Plastic Shredder Machine with The Crusher Cutting Knife Model for Environmentally Sustainable
Authors: Adjie Suwignyo Putra , Kusumastuti Rahmadi , Amir  , Mulyadi Dodi , Khoirudin
Published: January 2023

Indonesia produced about 31.2 million metric tons of garbage in 2021. Roughly 87.1% of the total waste is comprised-evaluated of plastic waste. Plastic waste takes a very long time to break down in the environment. It took decades for trash made of plastic to decompose. Disorganized waste management at the landfill is a significant source of plastics-related problems. In order to reuse plastic garbage, it must be crushed up first before the recycling process. The primary objective of the design process for the crushing plastic machine used to shred plastic waste was to maximize productivity. The design of the machine that crushes plastic waste was created and prepared with the help of computer-aided design (CAD) and computer-aided manufacturing (CAM) software. One thousand and zero millimeters in length, three hundred and twenty millimeters in width, and twelve hundred and sixty millimeters in height describe this machine for chopping up plastic trash. In terms of crushing time and capacity, variations in the rotational speed of 1000, 1100, and 1200 blades in revolution per minute were optimal. The optimal crushing time for 2 kg-HDPE plastic waste was 37 seconds at 1200 revolutions per minute, followed by 1100 revolutions per minute; 2 kg-HDPE plastic waste was crushed and evaluated. HDPE plastic wastes have typically crushed faster in less time than PET plastic wastes. It has been evaluated and validated for any setting variation operation involving the crushing speed. Three kilograms of HDPE plastic waste yielded an optimum crushing capacity of 194.4 kg/hour at 1200 revolutions per minute. Next, at 1200 revolutions per minute, 2 kg-HDPE plastic waste is crushed. HDPE plastic wastes are typically more effective to crush than PET plastic wastes, regardless of the crushing speed setting variation operations. As a result of this study, plastic waste is being put to better use, helping to cut down on overall plastic use in the plastic waste management
An Addition of Ethanol and Patchouli Oil on Pertamax: The Case Study of Their Effect on Exhaust Gas Emission for 4-stroke Engine
Authors: Farhan Mohammad , Gamayel Adhes
Published: January 2023

Industrial sector has been focused on the transportation and automotive service due to their essential for many people in every daily life. Currently, almost everyone has a motorized vehicle which also has an effect on improving the country’s economy. On the other hand, this raises concerns about the occurrence of a global warming phenomenon. The more motorized vehicles were extremely impact on increasing the exhaust gasses that also have a negative impact to the environment, including carbon monoxide (CO) and carbon dioxide (CO2). Hence, this work tried to reduce the exhaust gas emission through the addition of ethanol and synthetic additive, namely patchouli oil. This case study was conducted using pertamax fuel with octane number 92. We analyzed five different optimization sample that consisting of S1, S2, S3, S4, and S5. Then, the several characterizations also carried out to these samples for supporting the results obtained i.e. density, viscosity, and surface tension. Also, the variation of engine rotation speed (in rpm) is utilized to determine the performance or the impact of the samples made to the environment. The results indicate that the pertamax sample mixed with ethanol and patchouli oil showed an optimal performance in S5, there is no detect of CO emission. Then, S3 for the lowest emission of CO2. Also, S3 for the highest efficient in fuel consumption. Hoping this work has an extremely impact for the reducing an exhaust emission in fuels and increasing the energy efficient of internal combustion engines
El rol de la enfermería en el autocuidado de pacientes con Diabetes Mellitus tipo 2
Authors: Zambrano Valencia Eberth Javier , Lucas Holguin Genessis Alexandra
Published: January 2023

La diabetes mellitus (DM) tipo 2 es considerada un problema de salud pública a nivel mundial por su incremento de mortalidad, además, de las complicaciones en órganos diana que la enfermedad produce. Por otra parte, al tener un gran impacto dentro de la sociedad su control radica en el autocuidado; asimismo en el rol de enfermería a través de la educación que brinda a cada paciente. El objetivo se orienta en determinar el rol de la enfermería en el nivel del autocuidado de pacientes con DM tipo 2 del centro de Salud el Limón del cantón Portoviejo en el periodo de diciembre 2021 a marzo 2022. Esta investigación tiene un estudio de tipo descriptivo con corte transversal, la recolección de datos oportuna se realizó mediante el instrumento de encuestas dirigidas a pacientes con la patología. Los resultados muestran que en su mayoría los pacientes tienen un nivel medio de autocuidado y que el rol de la enfermería es vital; sin embargo, en menor proporción existen personas que no prestan atención a las recomendaciones. Por ello, se considera que es importante la educación que enfermería brinda a cada paciente, en relación con los cuidados necesarios que se deben seguir en el hogar para contrarrestar la enfermedad y así mejorar el estilo de vida, permitiendo que el paciente se involucre en su salud y por lo consiguiente se eviten complicaciones.
Técnicas de conformación de tejidos blandos en pacientes con implantes en sector anterior
Authors: Armijos Briones Marcelo , Morales Morales Noemí , Mena Silva Paola , Chiluisa Cueva Juan
Published: January 2023

Objetivo: Establecer protocolos en casos de alta demanda estética. Método: Se realizó una búsqueda bibliográfica en las diferentes bases de datos empleando palabras clave como: dental implants, provisional prosthesis, gingival archi-tecture, soft tissie buid- up. Se han encontrado 60 artículos, de los cuales hemos seleccionado 46, que cumplen todos los criterios de inclusión. Resultados: Luego de analizar las diversas técnicas de conformación de tejidos blandos en sector estético, se ha unificado criterios para evitar y tratar los efectos secundarios que se pueden presentar post extracción y al colocar un implante. Mediante la valoración de múltiples experiencias profesionales en la aplicación de técnicas para la obtención de resultados estéticos, se crearon protocolos de tratamiento que puede ser utilizados para la planificación, fase quirúrgica y fase protésica. Conclusiones: Esta clasificación y protocolos permitirían la unificación de criterios en base a la experiencia multidisciplinaria en la prevención y resolución de las diferentes situaciones y complicaciones que se nos presentan al momento de realizar prótesis sobre implantes en el sector anterior.
Percepción del riesgo asociado a conocimientos, actitudes y prácticas sobre prevención de la COVID-19 en población adulta ecuatoriana.
Authors: Macías Ferreiro Karina , Vivero Vélez Pamela Valeria , Vera Mera Teresa Stefania
Published: January 2023

Uno de los problemas que enfrenta el mundo en la lucha contra la pandemia por COVID-19. Con el objetivo de valorar la percepción de riesgo asociada a los conocimientos, actitudes y prácticas que tienen la población de la comunidad Bellavista del cantón Portoviejo en Manabí se desarrolló un estudio observacional, descriptivo y transversal. La muestra la constituyeron 330 personas. Se aplicó una encuesta de conocimientos, aptitudes y prácticas. Los datos se procesaron mediante frecuencia absoluta y media porcentual y la prueba de chi-cuadrado. En cuanto a los resultados las edades entre 41-50 años (27,8%) y entre 51-60 años (21,8%), el sexo femenino con 66,0%, el nivel cultural bachillerato y la educación básica (33,9 y 23,0 %) fueron los más sobresalientes. El 77,5% ha padeció la enfermedad. Existió un alto nivel de conocimiento sobre la Covid-19 en el 45,7 %. el 70% considera que ha existido un control adecuado de la pandemia, el 60,9% tiene practicas adecuadas en cuanto a las medidas de bioseguridad. Al determinar la percepción de riesgo el 38,7% resulto no tener percepción de riesgo mientras que el 29,6% presentaron una sobrestimación del riesgo. Los resultados demuestran la necesidad de estrategias de educación en la población estudiada.

PALABRAS CLAVE: asunción de riesgo, COVID-19, conocimientos, actitudes y práctica en salud.
Ansiedad infantil en confinamiento por pandemia de COVID – 19. Ciudad de Portoviejo, Manabí, Ecuador
Authors: Piñon Gamez Aimee , Farfan Pico Nilo Antonio
Published: January 2023

Introducción: En la pandemia de COVID - 19, el confinamiento y las medidas de distanciamiento social fueron implementadas con la finalidad de disminuir los contagios, pero causó impactos negativos sobre la salud mental destacándose la ansiedad infantil con sus diversas manifestaciones, que fue abordada desde el significado de síndrome a nivel presuntivo, según las referencias ofrecidas por los padres de los infantes.

Objetivo: Determinar la prevalencia de la ansiedad infantil en confinamiento por pandemia.

Métodos: La metodología utilizada fue un estudio descriptivo, en niños de 6 a 11 años de edad, en Portoviejo y la aplicación de un “Test de Ansiedad infantil” a una muestra de 254 sujetos, con la técnica de formulario en línea.

Resultados: los signos más destacados fueron: en la dimensión física, los trastornos de sueño en la totalidad de los niños; para la dimensión emocional, las pesadillas en el 51,2% seguido de la irritación y el enojo sin motivo en 66,1 % de las niñas y en la dimensión conductual, signo de inseguridad con la búsqueda de constante aprobación por los padres en 75,1 % de las niñas y la negación para asistir a clases virtuales en 62,2 % de los niños.

Conclusión: La prevalencia por ansiedad infantil, durante el confinamiento, fue significativa y debe ser considerada por los padres para buscar ayuda en su manejo y prevenir el trastorno de ansiedad.
Estrategias de pensamiento creativo para el diseño de proyectos de emprendimiento
Authors: Loor Moreira Jaime Darío , Rodríguez Loor Grace
Published: January 2023

El pensamiento creativo consiste en el aprendizaje que un estudiante obtiene a través de diferentes actividades y operaciones mentales, mismas que al ser implementadas en tareas de ideación son capaces de convertir una idea en un proyecto de emprendimiento. El presente estudio tiene como objetivo analizar la incidencia de estrategias de pensamiento creativo en el diseño de proyectos de emprendimiento dirigido a los estudiantes de bachillerato de la unidad educativa “María Piedad Castillo de Levi” de la ciudad de Paján, provincia de Manabí, Ecuador. La metodología tuvo un enfoque cualitativo y cuantitativo no experimental, la técnica implementada fue la encuesta aplicada a 153 estudiantes del bachillerato que cursan el segundo y tercer año, y una entrevista a la vicerrectora como autoridad. Los resultados obtenidos corroboran que los docentes trabajan con contenidos que le ayudan a diseñar proyectos de emprendimiento especialmente con la lluvia de ideas, y se sienten motivados gracias a ella, dado que les facilita el definir un proyecto de negocio. Se concluye que para la aplicación de estrategias de pensamiento en el diseño de proyectos de emprendimiento es indispensable contar con metodologías que potencian el proceso educativo como el design thinking, cuyas enseñanzas sirven para la vida y prepara al educando como una persona activa y creativa.