bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of RetinaNet-Based Single-Target Cascading and Multi-Target Detection Models for Administrative Regions in Network Map Pictures
Authors: Du Kaixuan , Che Xianghong , Wang Yong , Liu Jiping , Luo An , Ma Ruiyuan , Xu Shenghua
Published: October 2022

There is a critical need for detection of administrative regions through network map pictures in map censorship tasks, which can be implemented by target detection technology. However, on map images there tend to be numerous administrative regions overlaying map annotations and symbols, thus making it difficult to accurately detect each region. Using a RetinaNet-based target detection model integrating ResNet50 and a feature pyramid network (FPN), this study built a multi-target model and a single-target cascading model from three single-target models by taking Taiwan, Tibet, and the Chinese mainland as target examples. Two models were evaluated both in classification and localization accuracy to investigate their administrative region detection performance. The results show that the single-target cascading model was able to detect more administrative regions, with a higher f1_score of 0.86 and mAP of 0.85 compared to the multi-target model (0.56 and 0.52, respectively). Furthermore, location box size distribution from the single-target cascading model looks more similar to that of manually annotated box sizes, which signifies that the proposed cascading model is superior to the multi-target model. This study is promising in providing support for computer map reading and intelligent map censorship.
Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature
Authors: Khandakar Amith , Mahmud Sakib , Chowdhury Muhammad E. H. , Reaz Mamun Bin Ibne , Kiranyaz Serkan , Mahbub Zaid Bin , Ali Sawal Hamid , Bakar Ahmad Ashrif A. , Ayari Mohamed Arselene , Alhatou Mohammed , Abdul-Moniem Mohammed , Faisal Md Ahasan Atick
Published: October 2022

An intelligent insole system may monitor the individual’s foot pressure and temperature in real-time from the comfort of their home, which can help capture foot problems in their earliest stages. Constant monitoring for foot complications is essential to avoid potentially devastating outcomes from common diseases such as diabetes mellitus. Inspired by those goals, the authors of this work propose a full design for a wearable insole that can detect both plantar pressure and temperature using off-the-shelf sensors. The design provides details of specific temperature and pressure sensors, circuit configuration for characterizing the sensors, and design considerations for creating a small system with suitable electronics. The procedure also details how, using a low-power communication protocol, data about the individuals’ foot pressure and temperatures may be sent wirelessly to a centralized device for storage. This research may aid in the creation of an affordable, practical, and portable foot monitoring system for patients. The solution can be used for continuous, at-home monitoring of foot problems through pressure patterns and temperature differences between the two feet. The generated maps can be used for early detection of diabetic foot complication with the help of artificial intelligence.
Multiclass Level-Set Segmentation of Rust and Coating Damages in Images of Metal Structures
Authors: Bembenek Michał , Mandziy Teodor , Ivasenko Iryna , Berehulyak Olena , Vorobel Roman , Slobodyan Zvenomyra , Ropyak Liubomyr
Published: October 2022

This paper describes the combined detection of coating and rust damages on painted metal structures through the multiclass image segmentation technique. Our prior works were focused solely on the localization of rust damages and rust segmentation under different ambient conditions (different lighting conditions, presence of shadows, low background/object color contrast). This paper method proposes three types of damages: coating crack, coating flaking, and rust damage. Background, paint flaking, and rust damage are objects that can be separated in RGB color-space alone. For their preliminary classification SVM is used. As for paint cracks, color features are insufficient for separating it from other defect types as they overlap with the other three classes in RGB color space. For preliminary paint crack segmentation we use the valley detection approach, which analyses the shape of defects. A multiclass level-set approach with a developed penalty term is used as a framework for the advanced final damage segmentation stage. Model training and accuracy assessment are fulfilled on the created dataset, which contains input images of corresponding defects with respective ground truth data provided by the expert. A quantitative analysis of the accuracy of the proposed approach is provided. The efficiency of the approach is demonstrated on authentic images of coated surfaces.
A Comparative Study of Frequent Pattern Mining with Trajectory Data
Authors: Ding Shiting , Li Zhiheng , Zhang Kai , Mao Feng
Published: October 2022

Sequential pattern mining (SPM) is a major class of data mining topics with a wide range of applications. The continuity and uncertain nature of trajectory data make it distinctively different from typical transactional data, which requires additional data transformation to prepare for SPM. However, little research focuses on comparing the performance of SPM algorithms and their applications in the context of trajectory data. This study selected some representative sequential pattern mining algorithms and evaluated them with various parameters to understand the effect of the involved parameters on their performances. We studied the resultant sequential patterns, runtime, and RAM consumption in the context of the taxi trajectory dataset, the T-drive dataset. It was demonstrated in this work that a method to discretize trajectory data and different SPM algorithms were performed on trajectory databases. The results were visualized on actual Beijing road maps, reflecting traffic congestion conditions. Results demonstrated contiguous constraint-based algorithms could provide a concise representation of output sequences and functions at low min_sup with balanced RAM consumption and execution time. This study can be used as a guide for academics and professionals when determining the most suitable SPM algorithm for applications that involve trajectory data.
Application of Wearable Computer and ASR Technology in an Underground Mine to Support Mine Supervision of the Heavy Machinery Chamber
Authors: Stefaniak Paweł , Stachowiak Maria , Koperska Wioletta , Skoczylas Artur , Śliwiński Paweł
Published: October 2022

Systems that use automatic speech recognition in industry are becoming more and more popular. They bring benefits especially in cases when the user’s hands are often busy or the environment does not allow the use of a keyboard. However, the accuracy of algorithms is still a big challenge. The article describes the attempt to use ASR in the underground mining industry as an improvement in the records of work in the heavy machinery chamber by a foreman. Particular attention was paid to the factors that in this case will have a negative impact on speech recognition: the influence of the environment, specialized mining vocabulary, and the learning curve. First, the foreman’s workflow and documentation were recognized. This allowed for the selection of functionalities that should be included in the application. A dictionary of specialized mining vocabulary and a source database were developed which, in combination with the string matching algorithms, aim to improve correct speech recognition. Text mining analysis, machine learning methods were used to create functionalities that provide assistance in registering information. Finally, the prototype of the application was tested in the mining environment and the accuracy of the results were presented.
Spiral Deployment of Optical Fiber Sensors for Distributed Strain Measurement in Seven-Wire Twisted Steel Cables, Post-Tensioned against Precast Concrete Bars
Authors: Zhu Yanping , Chen Genda
Published: October 2022

On-time monitoring and condition assessments of steel cables provide mission-critical data for informed decision making, ensuring the structural safety of post-tensioned concrete structures. This study aimed to develop a spiral deployment scheme of distributed fiber optic sensors (DFOS) and to monitor/assess the post-tensioned force in seven-wire twisted steel cables, based on the pulse-pre-pump Brillouin optical time domain analysis. Each DFOS was placed in a spiral shape between two surface wires of a steel cable and glued to the steel cable by epoxy. Image observations were conducted to investigate the entireness and bonding condition between the optical fiber and the steel wires. Eight concrete bar specimens were cast, each with a pre-embedded plastic or metal duct at its center and each was post-tensioned by a steel strand through the duct once they were instrumented with two strain and two temperature sensors. The strand was loaded/unloaded and monitored by measuring the Brillouin frequency shifts and correlating them with the applied strains and the resulting cable force after temperature compensation. The maximum, minimum, and average cable forces integrated from the measured stain data were compared and validated with those from a load cell. The maximum (or average) cable force was linearly related to the ground truth data with a less than 10% error between them, after any initial slack had been removed from the test setup. The post-tensioned force loss was bounded by approximately 30%, using the test setup designed in this study.
Adaptive Filtering for the Maternal Respiration Signal Attenuation in the Uterine Electromyogram
Authors: Martins Daniela , Batista Arnaldo , Mouriño Helena , Russo Sara , Esgalhado Filipa , dos Reis Catarina R. Palma , Serrano Fátima , Ortigueira Manuel
Published: October 2022

The electrohysterogram (EHG) is the uterine muscle electromyogram recorded at the abdominal surface of pregnant or non-pregnant woman. The maternal respiration electromyographic signal (MR-EMG) is one of the most relevant interferences present in an EHG. Alvarez (Alv) waves are components of the EHG that have been indicated as having the potential for preterm and term birth prediction. The MR-EMG component in the EHG represents an issue, regarding Alv wave application for pregnancy monitoring, for instance, in preterm birth prediction, a subject of great research interest. Therefore, the Alv waves denoising method should be designed to include the interference MR-EMG attenuation, without compromising the original waves. Adaptive filter properties make them suitable for this task. However, selecting the optimal adaptive filter and its parameters is an important task for the success of the filtering operation. In this work, an algorithm is presented for the automatic adaptive filter and parameter selection using synthetic data. The filter selection pool comprised sixteen candidates, from which, the Wiener, recursive least squares (RLS), householder recursive least squares (HRLS), and QR-decomposition recursive least squares (QRD-RLS) were the best performers. The optimized parameters were L = 2 (filter length) for all of them and λ = 1 (forgetting factor) for the last three. The developed optimization algorithm may be of interest to other applications. The optimized filters were applied to real data. The result was the attenuation of the MR-EMG in Alv waves power. For the Wiener filter, power reductions for quartile 1, median, and quartile 3 were found to be −16.74%, −20.32%, and −15.78%, respectively (p-value = 1.31 × 10−12).
Data-Driven Predictive Control of Exoskeleton for Hand Rehabilitation with Subspace Identification
Authors: Kaplanoglu Erkan , Akgun Gazi
Published: October 2022

This study proposed a control method, a data-driven predictive control (DDPC), for the hand exoskeleton used for active, passive, and resistive rehabilitation. DDPC is a model-free approach based on past system data. One of the strengths of DDPC is that constraints of states can be added to the controller while performing the controller design. These features of the control algorithm eliminate an essential problem for rehabilitation robots in terms of easy customization and safe repetitive rehabilitation tasks that can be planned within certain constraints. Experiments were carried out with a designed hand rehabilitation system under repetitive and various therapy tasks. Real-time experiment results demonstrate the feasibility and efficiency of the proposed control approach to rehabilitation systems.
Optical Strain Gauge Prototype Based on a High Sensitivity Balloon-like Interferometer and Additive Manufacturing
Authors: Cardoso Victor H. R. , Caldas Paulo , Giraldi Maria Thereza R. , Frazão Orlando , Costa João C. W. Albuquerque , Santos José Luís
Published: October 2022

An optical strain gauge based on a balloon-like interferometer structure formed by a bent standard single-mode fiber combined with a 3D printer piece has been presented and demonstrated, which can be used to measure displacement. The interferometer has a simple and compact size, easy fabrication, low cost, and is repeatable. The sensor is based on the interference between the core and cladding modes. This is caused by the fiber’s curvature because when light propagates through the curved balloon-shaped interferometer region, a portion of it will be released from the core limitation and coupled to the cladding. The balloon has an axial displacement as a result of how the artwork was constructed. The sensor head is sandwiched between two cantilevers such that when there is a displacement, the dimension associated with the micro bend is altered. The sensor response as a function of displacement can be determined using wavelength shift or intensity change interrogation techniques. Therefore, this optical strain gauge is a good option for applications where structure displacement needs to be examined. The sensor presents a sensitivity of 55.014 nm for displacement measurements ranging from 0 to 10 mm and a strain sensitivity of 500.13 pm/μϵ.
Ethyl Acetate Extract of Dracocephalum heterophyllum Benth Ameliorates Nonalcoholic Steatohepatitis and Fibrosis via Regulating Bile Acid Metabolism, Oxidative Stress and Inhibiting Inflammation
Authors: Fang Yan , Sun Dandan , Li Gang , Lv Yue , Li Jia , Wang Qilan , Dang Jun
Published: October 2022

Dracocephalum heterophyllum Benth is well-known for its ability to alleviate liver heat. In this study, Dracocephalum heterophyllum Benth ethyl acetate extracts were evaluated on mouse models of nonalcoholic steatohepatitis and liver fibrosis. After 6 and 8 weeks of treatment, serum parameters and gene expressions in tissue samples, as well as stained tissue sections, demonstrated that the ethyl acetate extracts were effective in treating these liver diseases. The principal bioactive constituent (rosmarinic acid) was identified and screened by high pressure liquid chromatography-1,1-diphenyl-2-picrylhydrazyl and affinity ultrafiltration-HPLC. The rosmarinic acid was separated from extracts with high purity by medium- and high-pressure liquid chromatography. Finally, the interactions between rosmarinic acid and the key targets of lipid metabolism, oxidative stress and inflammation were verified by molecular docking. Thereby, an indirect regulation of lipid and cholesterol metabolism and inhibition of liver inflammation and liver fibrosis by the studied extract has been observed. This study demonstrated that Dracocephalum heterophyllum Benth ethyl acetate extracts have the potential to treat nonalcoholic steatohepatitis and liver fibrosis, revealing their multi-target and multi-pathway therapeutic characteristics.
Process Optimization Based on Biological Effects and Biomarker Contents of Camellia japonica L. for the Development of Anti-Hyperuricemic and Anti-Wrinkle Source
Authors: Song Seung-Yub , Park Dae-Hun , An Ki-Wan , Cho Seung-Sik
Published: October 2022

The purpose of this study was to simultaneously develop anti-hyperuricemic and anti-wrinkle source using Camellia japonica leaf (CJ). CJ extract was prepared. Its contents of biomarkers and biological activities were then analyzed. First, we investigated the extraction efficiency. The extraction rate was 10% or less with hot water or 80% ethanol. HPLC analysis revealed that CJ extract contained rutin, hyperoside, isoquercitrin, chlorogenic acid (CGA), gallocatechin gallate (GCG), and phillygenin. As a result of measuring contents of biomarkers in the extract, CGA was detected in 20, 40, and 60% ethanol extracts. GCG showed the highest content in the hot water extract. Hyperoside and isoquercitrin showed the highest contents in the 80% ethanol extract. Philligenin showed an even content of 0.1% or more in all samples except for 40% ethanol extract. Rutin showed the highest content in 80% ethanol extract. Elastase inhibitory abilities of six extracts and PPRM were investigated at a concentration of 0.5 mg/mL. Results revealed that PPRM and 80% ethanol extract showed about 80% and 62% inhibition, respectively. As a result of comparing elastase inhibitory activities of biomarkers, hyperoside, isoquercitrin, and philligenin showed higher activities. Among six extracts, the extract that could be used as an anti-hyperuricemic source was 80% ethanol extract. When xanthine oxidase (XO) inhibitory activities of biomarkers were evaluated, rutin and hyperoside showed excellent activities. In particular, when XO activity was measured by mixing rutin and hyperoside with 80% ethanol extract, the same efficacy as 80% ethanol extract was obtained. It was predicted that 80% ethanol extract could be used simultaneously as an anti-hyperuricemic and anti-wrinkle source. Further studies are needed to determine anti-hyperuricemic activities of rutin and hyeproside in vivo.
Mean Centered Kinetic—Spectrophotometric Data—Continuous Wavelet Transform for Simultaneous Determination of Dopamine and Uric Acid in Presence of Ascorbic Acid at Biological Samples
Authors: Tarighat Maryam Abbasi , Keshavarz Zahara , Abdi Gholamreza , Proestos Charalampos
Published: October 2022

In the present study, a rapid, practical, selective and sensitive method was proposed for simultaneous determination of dopamine (DA) and uric acid (UA). Kinetic profiles of analytes were recorded and transformed by different mother wavelets. The contribution of ascorbic acid was neglected using mean centering of data before transformation. The concentrations range were 1.0–60.0 μmol L−1 and 7–40.0 μmol L−1, with detection limit of 0.06 and 0.30 μmol L−1 for uric acid and dopamine, respectively. The results of sym8 and db4 mother wavelets showed that proposed method creates a most selective and sensitive determination without using initial separation steps. The obtained results by CWT-sym8 and CWT-db4 were compared with partial least squares (PLS) results. The simultaneous quantitation of DA and UA with the proposed method was successfully applied in different urine and serum samples.
Development and Validation of a Uplc-Qtof-Ms Method for Blood Analysis of Isomeric Amphetamine-Related Drugs
Authors: Alamir Ahmad , Watterson James , Attafi Ibraheem
Published: October 2022

The identification of isomeric drugs is gaining increasing importance in forensics and doping control. Isomers vary in terms of safety, effectiveness, and regulation, particularly for amphetamine-related drugs (ARDs). This study developed and validated a pseudo-isocratic UPLC-qTOF-MS analytical method for the identification of isomeric Amphetamine-related drugs (ARDs) in blood following mixed-mode solid-phase extraction (MMSPE). The procedure requires 250 μL of blood to achieve a limit of quantification (LOQ) and detection (LOD) of 20 ng/mL for all analytes. In aged animal blood samples, extraction recoveries of 63–90% and matrix effects of 9–21% were observed. Precision and accuracy for all analytes were within 20% and 89–118%, respectively. The analytical method was developed and validated in accordance with the Scientific Working Group for Forensic Toxicology (SWGTOX) Standard. It has acceptable accuracy and precision for use in doping control and forensic toxicology.
Nylon Membrane-Based Electromembrane Extraction Coupled with Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry for the Determination of Insulin
Authors: Huang Jun-Kai , Hsiao Yi-Wen , Chen Wen-Chi , Chang Sarah Y.
Published: October 2022

A rapid and sensitive protein determination method that uses electromembrane extraction (EME) and is coupled with matrix-assisted laser desorption/ionization mass spectrometry (MALDI/MS) is developed. A flat nylon membrane is used to collect proteins from an aqueous solution and is directly analyzed by MALDI/MS after the addition of the MALDI matrix. Insulin is used as a model protein to investigate the optimum extraction of the parameters. The optimum EME conditions are obtained at 12 V of voltage, 10 min of extraction time, 12 mL sample volume, and 400 rpm agitation rate. The linear dynamic range (LDR) of insulin in an aqueous solution is in the range of 1.0–100.0 nM. The limit of detection (LOD) for insulin in an aqueous solution is 0.3 nM with 103-fold signal-to-noise (S/N) ratio enhancement. Furthermore, the applicability of this method to determine insulin in complicated sample matrices is also investigated. The LDR of insulin in human urine samples is in the range of 5.0–100.0 nM, and the LOD of insulin in urine samples is calculated to be 1.5 nM. The precision and accuracy of this method are evaluated at three different concentration levels, and the coefficient of variation (CV) and relative error are less than 6%. This approach is time-efficient and economical, as the flat membrane mode of EME coupled with MALDI/MS is suitable.
Simple Isolation of Cordycepin from Cordyceps militaris by Dual-Normal Phase Column Chromatography and Its Potential for Making Kombucha Functional Products
Authors: Quan Nguyen Van , Iuchi Yu , Anh La Hoang , Hasan Mehedi , Xuan Tran Dang
Published: October 2022

Cordycepin (3′-deoxyadenosine) is a potent bioactive metabolite of the medicinal fungus Cordyceps militaris, which has been increasingly exploited to treat various chronic diseases in humans. However, the current synthesis and purification procedures of cordycepin are principally laborious and complicated. This study provides a simple protocol approach to isolate and purify cordycepin from C. militaris by normal phase column chromatography at room temperature. Besides, this is the first to investigate the potential of cordycepin and cordycepin-included extracts from C. militaris for making Kombucha functional products. By a repeated column chromatography, an amount of 1.16 g of cordycepin is isolated from 2.8 kg of fruiting bodies of C. militaris, which obtained an efficiency of 83.26% compared to that estimated by high-performance liquid chromatography (HPLC). The purity of cordycepin is confirmed by thin-layer chromatography (TLC), HPLC, and proton nuclear magnetic resonance (1H NMR). In addition, kombucha-fermented extracts from cordycepin and cordycepin-included fractions show potential biological activities in terms of antioxidant, anti-diabetes via α-glucosidase inhibitory assay, and cytotoxicity via MTT assay on Meg-01 and HL-60 cell lines. Further studies on optimization of extraction protocol and verification of health benefits of kombucha products from cordycepin should be conducted prior to the official mass production.
Retention Time Prediction with Message-Passing Neural Networks
Authors: Osipenko Sergey , Nikolaev Eugene , Kostyukevich Yury
Published: October 2022

Retention time prediction, facilitated by advances in machine learning, has become a useful tool in untargeted LC-MS applications. State-of-the-art approaches include graph neural networks and 1D-convolutional neural networks that are trained on the METLIN small molecule retention time dataset (SMRT). These approaches demonstrate accurate predictions comparable with the experimental error for the training set. The weak point of retention time prediction approaches is the transfer of predictions to various systems. The accuracy of this step depends both on the method of mapping and on the accuracy of the general model trained on SMRT. Therefore, improvements to both parts of prediction workflows may lead to improved compound annotations. Here, we evaluate capabilities of message-passing neural networks (MPNN) that have demonstrated outstanding performance on many chemical tasks to accurately predict retention times. The model was initially trained on SMRT, providing mean and median absolute cross-validation errors of 32 and 16 s, respectively. The pretrained MPNN was further fine-tuned on five publicly available small reversed-phase retention sets in a transfer learning mode and demonstrated up to 30% improvement of prediction accuracy for these sets compared with the state-of-the-art methods. We demonstrated that filtering isomeric candidates by predicted retention with the thresholds obtained from ROC curves eliminates up to 50% of false identities.
Numerical Investigation of High-Temperature Superconducting-Coated-Conductors Subjected to Rotating Magnetic Fields
Authors: Soomro Wafa Ali , Guo Youguang , Lu Haiyan , Jin Jianxun , Shen Boyang , Zhu Jianguo
Published: October 2022

Over time, high-temperature superconductor (HTS)-coated conductors (CCs) have proven to be promising candidates for future high-efficiency and high-power density electrical machines. However, their commercialization is handicapped due to the AC dissipative loss that occurs upon exposure to external magnetic fields. In rotating electromagnetic devices, the external magnetic field is a combination of alternating and rotating magnetic fields. Most of the research is devoted to the effect of exposure of the superconductors to alternating magnetic fields only. This article presents an investigation to observe the behavior of HTSCCs under rotating magnetic fields, particularly the AC loss, using a finite-element-based homogeneous H-formulation technique. Our investigation shows that the AC loss could be considerably high when HTSCCs are exposed to rotating magnetic fields and, ultimately, could affect the cooling efficiency of future high-efficiency and high-power density electrical machines.
Quality-adjusted life years for digital cognitive behavioural therapy for insomnia (Sleepio): a secondary analysis
Authors: Stokes Elizabeth A , Stott Richard , Henry Alasdair L , Espie Colin A , Miller Christopher B
Published: October 2022

Background

Insomnia is common, and difficulty with daytime functioning is a core symptom. Studies show cognitive behavioural therapy (CBT) improves functioning, but evidence is needed on its value for money. Quality-adjusted life years (QALYs), capturing length and quality of life, provide a standard metric by which to judge whether a treatment is worth its cost. Studies have found QALY gains with therapist-delivered and therapist-guided CBT, but most have not reached statistical significance. Estimates of QALY gains with fully automated digital CBT (dCBT) for insomnia are lacking.

Aim

To assess whether dCBT (Sleepio) for insomnia is associated with gains in QALYs compared with a sleep hygiene education control.

Design & setting

A secondary analysis of a large effectiveness trial of 1711 participants from the UK, US, and Australia.

Method

EQ-5D scores, the National Institute for Health and Care Excellence's (NICE’s) preferred measure of health-related quality of life (HRQoL), were predicted (mapped) from the 10-item Patient-Reported Outcomes Measurement Information System (PROMIS-10) Global Health scores and used to determine QALYs from baseline to 24 weeks (controlled), and to 48 weeks (uncontrolled).

Results

At week 24, QALYs were significantly higher for the dCBT group, with mean QALYs 0.375 and 0.362 in the dCBT and control groups, respectively. The mean difference was 0.014 (95% confidence interval [CI] = 0.008 to 0.019), and this difference was maintained over the 48-week study period (0.026, 95% CI = 0.016 to 0.036). The difference of 0.026 QALYs is equivalent to 9.5 days in perfect health.

Conclusion

Sleepio is associated with statistically significant gains in QALYs over time compared with control. Findings may be used to power future studies and inform cost-effectiveness analyses of automated dCBT for insomnia scaled to a population level.
REKONSILIASI KAS UMUM DAERAH KABUPATEN TANAH LAUT
Authors: Pebriana Rina , Suasri Eni
Published: October 2022

Bank Reconciliation is a procedure used by a company in terms of financial records. Companies and government agencies in recording financial statements carry out bank reconciliation. Bank reconciliation aims to prevent and minimize the occurrence of fictitious transactions, both those carried out by the bank and by the regional General Treasury. In addition, to ensure that the company's cash has been deposited into the bank and to find out the number of expenses or receipts recorded by the bank, but have not been recorded in the Regional General Treasury. This study used a method of comparing cash balances in regional general cash with bank statements by making bank records as a reference. Based on the results of the reconciliation that has been carried out, there is a difference in cash receipts and expenditures of IDR 27,045,944,080.
Proses Pembubutan Rata Bahan AISI 1010 Dengan Mesin CNC Untuk Mendapatkan Kualitas Permukaan Yang Optimum
Authors: Aldi Finandika Bena , Waluyo* Joko , Bisma Prabuditya
Published: October 2022

Surface quality is one of the most important things in turning machining process. The use of the right turning parameters can produce optimal surface quality. The parameters used in this flat turning CNC turning process are AISI 1010 steel using three revolutions at the spindle rotation, namely 1989, 2089, and 2188 revolutions per minute and the selected feeding is 0.1 mm/put, 0.15 mm/put, and 0.25 mm. /put and feed depth of 1.0, 1.5, and 2.0 mm. The optimal price can be obtained for each parameter using Taguchi method. Surface roughness was measured after the flat turning process, and then analysis of variance (ANOVA) and signal to noise ratio analysis were carried out according to Taguchi's design proposal. The results obtained from the analysis of variance, the feed rate parameter was identified as having a large effect on surface roughness at a contribution of 73,10.%, then spindle rotation at a contribution of 17.50% and infeed depth at a contribution of 7,30%. The results of the signal to noise ratio analysis to obtain the best parameters for surface roughness are at spindle rotation of 2188 rpm, feed rate 0.15 mm/put, and feed depth of 1.0 mm with an average surface roughness of 0.804 µm.
Optimalisasi Pengisian Accu Pada Sistem Pembangkit Listrik Tenaga Surya (PLTS) Dengan Solar Charge Controller (MPPT)
Authors: Suyanto Muhammad , Priyambodo Sigit , E.P Prasetyono , Purnama Aji Ari
Published: October 2022

The use of renewable energy is currently one of the alternative energies to support the decline in fossil energy in Indonesia. Solar energy is the right choice for now, as a solar power plant (PLTS), which is a renewable technology, which can convert solar thermal energy into electrical energy. The solar power generation system has various components, one of which is the Solar charge controller. The purpose of this research is to optimize battery charging using the MPPT Solar charge controller type. MPPT solar charge controller, has better characteristics and is able to charge the battery (accu) faster. In this study also pay attention to the effect of light intensity and temperature on the power output generated by the solar cell. The results showed that the MPPT Solar charge controller was able to work better and faster in charging the battery (accu) than other Solar charge controllers. It is proven by the results of the average voltage, current and output power of the MPPT controller of 13.79 volts, 3.06 amperes and 42.26 watts of power, for high light intensity and temperature do not always affect the results of high voltage, current and power, because environmental factors also affect the output of the solar cell.
Unjuk Kerja Charge Controller metode PWM Menggunakan Arduino Uno
Authors: Matalata Hendi , Effendi Asnal
Published: October 2022

The need for a charge controller for the use of electrical energy sourced from solar panels and DC generators is very necessary for the purposes of the battery function as electric power in the inverter which functions as a voltage source. Usually the battery is used for inverter purposes in meeting household electricity needs as a substitute for PLN. The charging process will occur if the output voltage from the DC voltage source is higher than the battery voltage to be recharged. In this study, the charging process is based on PWM settings, and consists of 2 types, namely boost mode and float mode which are distinguished from the duty cycle setting. The voltage reading on the voltage divider sensor using a resistor has an error of less than 6.22% at the source terminal, and 6.89% at the battery. However, the charging process is able to provide an average voltage of 13.14 Volts on the battery (12 Volts), so that the charging process can run well.
Usulan Penataan Ulang Tata Letak Fasilitas Dengan Metode Systematic Layout Planning (SLP) dan Class Based Storage
Authors: Oksa Rizaldy Wiratama Antonius , Susetyo* Joko , Adelina Simanjuntak Risma
Published: October 2022

PT Solusi Cahaya Teknik is a company engaged in trading and maintenance service that sells consumable products for welding maintenance and repair. The material handling process cannot be separated from the facility layout in the company. The existing problem is regarding the layout that is not well ordered, causing longer and less optimal material handling. This study aims to propose a rearrangement of the facility layout by minimizing the material handling distance. The proposed facility layout is designed using the Systematic Layout Planning and Class Based Storage methods. The Systematic Layout Planning method is used to change the position of the department based on proximity, while Class Based Storage is used to rearrange the product storage area. The result of processing the material handling layout distance before repair is 16.273 meters. While the results of processing after the repair obtained the shortest material handling distance of 7.772 meters with a reduction rate of 8.501 m and a monthly material handling cost of Rp. 2,148,707.98 or 52.2% smaller than the pre-repair layout.
FOREST RESOURCES AS A BASIS FOR THE DEVELOPMENT OF REGIONAL FOREST COMPLEXES
Authors: Morkovina Svetlana , Kuznetsov Denis
Published: October 2022

This article discusses the issues of assessment, use and classification of forest resources in a theoretical and practical way (on the example of several subjects of the Russian Federation). Forest resources, at the same time, are taken into account in this article as the most important factor that ensures the attraction of investments in the forest complexes of Russian regions. As part of the study, by reviewing the literature, the main theoretical provisions regarding forest resources and the opinions of various scientists on the role of forest resources for the economy were considered. For the Voronezh, Belgorod, Kursk, Tambov and Lipetsk regions, a quantitative analysis of data on concluded lease agreements for the use of forests for various types of forest management was carried out. The result of the study is the confirmation of the thesis that the availability of forest resources makes it possible to attract more tenants for the forests using, and, consequently, to increase revenues from the forests using to the budget system of the Russian Federation, which, in turn, ensures an increase in government spending on forestry and conservation of forest resources. Established priority directions of forest using for the regions of the Central Chernozem area, such as recreational activities, forest climate projects, organization of harvesting and collection of non-wood forest resources, medicinal plants.
Improving the methodology for assessing the competitiveness of business structures in the furniture market
Authors: Bezrukova Tatyana , Korzhova O.
Published: October 2022

Abstract

In our study discusses methods for assessing the competitiveness of goods: their types, essence and approach to each of them, existing shortcomings. In the center is of the consideration of each method based on the analysis and accuracy of the assessment, and attention is also drawn to the lack of a unified approach to assessment and the problem with its development. In today's market conditions, business structures that produce goods or services cannot constantly maintain their market positions, so increasing productivity and keeping it at a high level is very important. Competition acts as the highest motivating force that forces business structures to improve the quality of their products, goods, works or services, reduce production costs, and increase labor productivity. The means of competition are the goods and services by which competing firms seek to win recognition and get money from the consumer. In this regard, business structures in the furniture market need to investigate the impact of globalization and solve the problems of managing competitiveness and direct the results obtained to solve the primary tasks set for the industry on a digital development path. The competitiveness of business structures in the furniture market is their ability to successfully compete in the market and receive economic profit relative to competitors. The survival of business structures in a competitive, unstable and changeable external environment should be based on a constant and comprehensive analysis of the activities of competitors, their own strategic potential and evaluation of the effectiveness of its use, as well as a real assessment of the position of the business structure in the market for goods and services relative to competitors, i. e. an objective assessment of the competitiveness of the business structure. That is why there are many methods and techniques for increasing the competitiveness of a business structure. In the course of the study, methods of structural, systemic and functional analysis, graphical and mathematical methods, survey and questioning methods were used.
DIVERSITY AND TECHNOLOGICAL DEVELOPMENT AS MANIFESTATIONS OF INNOVATION
Authors: Koza Iwona
Published: October 2022

Innovation is seen as a key factor contributing to the competitiveness of organizations and the economy, resulting in development. Invariably important research problem is also the diagnosis of factors hindering the conduct of innovative activities. One of the internal conditions influencing innovation are diversity and technical development. Diversity, in other words: teamwork and quality of staff, is a value increasingly desirable by modern enterprises and necessary for their development. However, when combining innovation with technology, it is worth emphasizing that the very concept of innovation can be understood not only as a process involving all activities related to the transformation of an idea or idea into a new product, but also into a new technology along with its implementation. In order to find appropriate, reliable data, it is worth reaching for the indicators that make up the European Innovation Scoreboard 2021 so as to trace the dynamics of the changes seen in the same selected indicators over the course of the last few years. The results obtained in this way give hope for their successful development in the future and the multiplication of attitudes supporting both diversity and development, supporting innovation and creativity. In the modern world, plagued by numerous crises, these are key aspects.
UTILIZAÇÃO DA MANUFATURA ADITIVA (IMPRESSÃO EM 3D) NO TRATAMENTO DE OSTEOSSARCOMA VERTEBRAL EM CÃO SUBMETIDO A VERTEBRECTOMIA LOMBAR: RELATO DE CASO
Authors: Augusto Ramos dos Santos César , Gonçalves Martins de Siqueira Emerson , Thizen Guilherme
Published: October 2022

O osteossarcoma é uma das neoplasias ósseas mais comumente relatadas na medicina veterinária, principalmente em cães de raça grande e gigante, sendo que a forma vertebral possui importante cenário clínico apresentando 5% do total de relatos. Este possui um prognóstico desfavorável e tempo de sobrevida pequeno. A apresentação clínica é variável e podem ser observados sinais de dor intensa a déficits neurológicos em decorrência do envolvimento medular progressivo. O diagnóstico pode ser realizado por imagens através de radiografia ou tomografia computadorizada, e por análises laboratoriais de citopatologia ou histopatologia, sendo o último preferível para classificação de tumores. A ressecção tumoral parcial é uma forma paliativa de tratamento, indicada em alguns casos para aliviar temporariamente os sinais clínicos relacionados a dor e déficits neurológicos. Contudo, quando há possibilidade terapêutica, a excisão completa fornece melhor prognóstico e tempo de sobrevida, principalmente quando associada a quimioterapia ou radioterapia. Mediante procedimento de vertebrectomia, a estabilização cirúrgica é necessária, podendo ser realizada respeitando os princípios para estabilização vertebral por trauma, sendo necessário a colocação de um espaçador vertebral para evitar o colabamento medular. Diversos materiais foram propostos para a confecção do espaçador vertebral. A manufatura aditiva, também conhecida como impressão 3D, tem transformado o conceito de prototipagem rápida em realidade, devido a habilidade de fabricar peças geométricas específicas de alta complexidade e de forma rápida, permitindo elaborar protótipos para uso pré ou transoperatórios em cirurgias ortopédicas de alta complexidade. O polietileno tereftalato glicol (PETG), por ser um termoplástico de alta resistência, não-biodegradável, biocompatível e de baixo custo é foco desse trabalho no desenvolvimento do espaçador vertebral como estabilizador em um procedimento de vertebrectomia em cão.
Modelo de gestión logística para pequeñas empresas agrícolas
Authors: Vargas-Pilla Alex Hernán , Romero-Fernández Ariel José , Suárez-Torres Cesar Edison
Published: October 2022

Se ha realizado una investigación con la propuesta de implementar un modelo de gestión logística para los pequeños agricultores del cantón Patate provincia de Tungurahua - Ecuador. Se realizó una encuesta a los propietarios y pequeños agricultores de Patate. Los pequeños agricultores desconocen las herramientas o métodos adecuados para reducir sus costos, obtener una mejor rentabilidad y satisfacer a sus clientes. No cuentan con un modelo logístico que les permita mejorar la organización, planificación ejecución y control de los diferentes procesos. Para ello, se ha propuesto un modelo logístico adecuado que permitirá disminuir las falencias y agregar valor a los procesos, competitividad de los pequeños agricultores del cantón Patate.
Estudio de la estandarización del proceso de carga de producto terminado en centro de distribución
Authors: Aldas-Mayorga Teresa Maricela , Romero-Fernández Ariel José , Gallegos-Riofrío Rodrigo Xavier
Published: October 2022

El centro de distribución de bebidas de moderación CD Riobamba, posee varias operaciones dentro de las cuales esta el proceso de carga de producto terminado, el cual muestra inconvenientes como un cuello de botella, por lo que se debe mejorar las condiciones del proceso; este problema genera pérdida de tiempo que produce un gasto innecesario e ineficiencia, es por ello que el objetivo de este artículo es proponer un modelo de estandarización para el proceso de carga de producto terminado para el centro de distribución. Según su alcance es descriptiva. Analizados los resultados se incorporó el desarrollo de un SOP operativo y un modelo de reestructuración de Layout, impulsando la mejora del proceso, buscando aumentar el beneficio económico actual, mejorando el servicio y cooperando con la ideología empresarial de mejora continua.
Perfeccionamiento de la contratación de personal calificado en gobiernos autónomos provinciales de la Amazonía ecuatoriana
Authors: Carrera-Villa Sabrina Luz María , Romero-Fernández Ariel José , Mendieta-Larreategui Christian
Published: October 2022

La investigación se realizó con la finalidad de proponer un modelo de contratación de personal calificado para la Mancomunidad de Gobiernos Autónomos Provinciales de la Amazonía Ecuatoriana – CONGA. De tipo descriptiva. Entre las principales deficiencias encontramos la manipulación en la selección del personal, haciendo que los procesos a desarrollarse se estanquen y no se cumplan los objetivos en las áreas específicas con eficiencia y eficacia, además no se utiliza técnicas de verificación para la contratación y las aptitudes del candidato no son consideradas al momento de la selección. Una vez que se han identificado los problemas se propone establecer un diagrama de procesos para el perfeccionamiento de contratación de personal calificado en la Mancomunidad de Gobiernos Autónomos Provinciales de la Amazonía Ecuatoriana – CONGA.
Evaluación de la calidad de servicio en el sector hotelero ecuatoriano
Authors: Tobar-Ruiz Gustavo Javier , Romero-Fernández Ariel José , Suarez-Torres Cesar Edison
Published: October 2022

El presente trabajo investigativo se desarrolló para contribuir a la mejora del proceso de prestación del servicio ofertado por el Hotel Samari Spa Resort en la ciudad de Baños de Agua Santa, Provincia de Tungurahua. Se utilizó el modelo de gestión de calidad SERVQUAL. Los puntos críticos identificados, constituyeron el insumo para la elaboración del Plan de Mejoramiento. Los resultados obtenidos en la investigación realizada a los clientes del Hotel Samari Spa Resort, luego de la implementación del Plan de Mejoramiento, evidencian mayores niveles de satisfacción de los clientes con respecto al servicio recibido. La Guía metodológica para la implementación y seguimiento de las acciones de mejora, aporta significativamente a la gestión de mejora continua que realiza el Hotel Samari Spa Resort en el proceso de prestación del servicio; garantizando de esta manera la satisfacción del cliente y el reforzamiento de la imagen empresarial.
Metodología de investigación tecnológica aplicada a las ciencias sociales
Authors: Piedra-Castro Wilson Iván , Castelo-Vinueza Edwin Manuel
Published: October 2022

Esta investigación tuvo como objetivo general analizar los aportes de la metodología de investigación tecnológica a las ciencias sociales. El estudio se realizó bajo la concepción del enfoque positivista, desde una perspectiva cuantitativa, a través de la indagación y análisis crítico documental. Los escritos consultados se instituyeron bajo la técnica del análisis de contenido a partir de la información seleccionada, lo que dio paso a la estructuración de los resultados. Como conclusión, se precisó que la metodología de la investigación tecnológica constituye una acción procedimental, cuyo propósito es incorporar la innovación y promover el conocimiento científico a raíz de los hechos sociales, siendo así útil para la resolución de problemas del día a día en pro de la construcción de una sociedad mejor y con avances tecnológicos.