bluuebunny/crossref_metadata_2025 huggingface dataset:
LITERATURE STUDY OF WORK ACCOMPANIMENT MUSIC EFFECT ON EMPLOYEE PRODUCTIVITY IN SEVERAL COMPANIES
Authors: Lisa Sofia Nuria , Dwiyanti Endang
Published: March 2022

ABSTRACTIncreased employee productivity can provide benefits for the company. However, isntability of employee productivity can cause some companies to find losses. Accompaniment music at work can be used as a solution to increase employee productivity. This study aims to determine the effect of accompaniment music at work on employee productivity in few companies. This study used a literature study method by reviewing 16 articles obtained from Google Scholar. The criteria for the articles used in this study discussed topics related to accompaniment music at work and employee productivity in several companies at least the last 10 years. Some data that have been collected will be analyzed using a description analysis flow. The results of the study showed that accompaniment music at work has a significant effect on employee productivity in several companies, that productivity was influenced by work environment factors, work spirit, cooperation, work loyalty, work speed, work stress, workload, fatigue, comfort, education level, age, work experience, gender, training, mental, and physical abilities of employees, as well as the relationship between superiors and subordinates. The form of increased employee productivity after accompaniment music while working are work being completed quickly and the results of the product or goods produced exceeding the target.   ABSTRAK Meningkatnya produktivitas karyawan dapat memberikan keuntungan bagi perusahaan. Namun karena produktivitas karyawan yang cenderung tidak stabil, menyebabkan beberapa perusahaan mengalami kerugian. Musik pengiring kerja dapat dijadikan sebagai salah satu solusi untuk meningkatkan produktivitas karyawan. Penelitian ini bertujuan untuk mengetahui pengaruh musik pengiring kerja terhadap produktivitas karyawan di beberapa perusahaan. Metode penelitian yang digunakan dalam penelitian ini adalah metode studi literatur dengan mengkaji sebanyak 16 artikel yang didapatkan dari google scholar. Kriteria artikel yang digunakan adalah artikel yang membahas mengenai topik yang berhubungan dengan musik pengiring kerja dan produktivitas karyawan di beberapa perusahaan pada 10 tahun terakhir. Beberapa data yang dikumpulkan akan dianalisis menggunakan alur analisis deskripsi. Hasil pengkajian menunjukkan bahwa musik pengiring kerja berpengaruh secara signifikan terhadap produktivitas karyawan di beberapa perusahaan, dimana produktivitas ini dipengaruhi oleh faktor lingkungan kerja, semangat kerja, kerjasama, loyalitas kerja, kecepatan kerja, stress kerja, beban kerja, kelelahan, kenyamanan, tingkat pendidikan, usia, pengalaman kerja, jenis kelamin, pelatihan, mental dan kemampuan fisik karyawan, serta hubungan antara atasan dan bawahan. Produktivitas karyawan dapat meningkat setelah diberi perlakuan mendengarkan musik berupa pekerjaan menjadi cepat selesai dan hasil produk atau barang yang dihasilkan melebihi target.
Determinant of Earnings Quality
Authors: Pujiati Diyah , Supriyati  , Nita Riski Aprillia
Published: March 2022

The quality of earnings indicates the current or future capability of the company to support the decisions made by managing board and other stakeholders. This research have to goal to examine the determinant of earnings quality in Indonesia, including: IFRS convergence, accounting disclosures, and audit committees. Data were acquired from official website in period of 2016-2018 and number of data was 212 observation data. Method of analysis involved regression test and classical assumption test. Result of research showed that the audit committee had a positive effect on earnings quality, while the convergence of IFRS and accounting disclosure cannot affect earnings quality. Research model was tested using control variables, respectively leverage, liquidity and company size. The test found that leverage is the only control variable that affects earnings quality. Information in financial statements is not the most important information to investors. Audit committee and creditor contribution play more important role in decisions regarding earnings quality.
Effects of population aging on the mortality burden of related cancers in urban and rural areas of China, 2004–2017: a population-based study
Authors: Chen Yali , Yang Cuihong , Li Ning , Wang Zixing , Wu Peng , Du Jin , Jiang Jingmei
Published: March 2022

Objective: China is a developing country with urban–rural disparities and accelerating population aging. Therefore, quantifying the effects of population aging on the cancer mortality burden is urgently needed. Methods: Using data from China’s death surveillance datasets (2004–2017), we decomposed and quantified the effects of population aging and factor variations on cancer mortality rates in urban and rural China during 2004–2017 through a decomposition method. R ratios were used to assess the extent of the mortality decreases attributable to factor variations offsetting the increases attributable to population aging for 4 aging-related cancers (lung, colorectal, esophageal, and stomach cancer). Results: Overall, population aging has led to continued increases in cancer mortality rates in China during 2004–2017 (mortality rates attributable to population aging: 8.63/100,000 for urban men, 4.21/100,000 for urban women, 11.95/100,000 for rural men, and 5.66/100,000 for rural women). The 4 cancers displayed 3 patterns. The mortality rates from lung cancer in rural China and from colorectal cancer nationwide increased because of both population aging and factor variations. Population aging was primarily responsible for the growing mortality due to lung cancer in urban areas. However, for esophageal and stomach cancer, the effect of population aging was not dominant, thus resulting in decreases in mortality rates. Conclusions: Health resource allocation should prioritize areas or cancers more adversely affected by population aging. The burden of cancer will continue to increase in the future, because of rapid population aging, but can still be offset or even reversed with enhanced cancer control and prevention.
Training Computers to See the Built Environment Related to Physical Activity: Detection of Micro-Scale Walkability Features Using Computer Vision
Authors: Adams Marc A. , Phillips Christine B. , Patel Akshar , Middel Ariane
Published: March 2022

The study purpose was to train and validate a deep-learning approach to detect micro-scale streetscape features related to pedestrian physical activity. This work innovates by combining computer vision techniques with Google Street View (GSV) images to overcome impediments to conducting audits (e.g., time, safety, and expert labor cost). The EfficientNETB5 architecture was used to build deep-learning models for eight micro-scale features guided by the Microscale Audit of Pedestrian Streetscapes-Mini tool: sidewalks, sidewalk buffers, curb cuts, zebra and line crosswalks, walk signals, bike symbols, and streetlights. We used a train--correct loop, whereby images were trained on a training dataset, evaluated using a separate validation dataset, and trained further until acceptable performance metrics were achieved. Further, we used trained models to audit participant (N=512) neighborhoods in the WalkIT Arizona trial. Correlations were explored between micro-scale features and GIS-measured- and participant reported-macro-scale walkability. Classifier precision, recall, and overall accuracy were all >84%. Total micro-scale was associated with overall macro-scale walkability (r=0.300,p<.001). Positive associations were found between model-detected and self-reported sidewalks (r=0.41,p<.001) and sidewalk buffers (r=0.26,p<.001). Computer vision model results suggest an alternative to trained human raters, allowing for audits of hundreds or thousands of neighborhoods for population surveillance or hypothesis testing.
Meaningful Test & Evaluation of Indoor Localization Systems in Semi-Controlled Environments
Authors: Schyga Jakob , Hinckeldeyn Johannes , Kreutzfeldt Jochen
Published: March 2022

Despite their enormous potential the use of Indoor Localization Systems (ILS) remains seldom. One reason is the lack of market transparency and stakeholders’ trust in the systems’ performance as a consequence of insufficient use of Test and Evaluation (T&E) methodologies. The heterogeneous nature of ILS, their influences, and their applications pose various challenges for the design of a methodology that provides meaningful results. Methodologies for building-wide testing exist, but their use is mostly limited to associated indoor localization competitions. In this work, the T&E 4iLoc Framework is proposed - a methodology for T&E of indoor localization systems in semi-controlled environments based on a system-level and black-box approach. In contrast to building-wide testing, T&E in semi-controlled environments, such as test halls is characterized by lower costs, higher reproducibility, and better comparability of the results. The limitation of low transferability to real world applications is addressed by an application-driven design approach. The empirical validation of the T&E 4iLoc Framework, based on the examination of a contour-based Light Detection and Ranging ILS, an Ultra Wideband ILS, and a camera-based ILS for the application of Automated Guided Vehicles in warehouse operation, demonstrates the benefits of T&E with the T&E 4iLoc Framework.
Global DNA Methylation in Cord Blood as a Biomarker for Prenatal Lead and Antimony Exposures
Authors: Okamoto Yoshinori , Iwai-Shimada Miyuki , Nakai Kunihiko , Tatsuta Nozomi , Mori Yoko , Aoki Akira , Kojima Nakao , Takada Tatsuyuki , Satoh Hiroshi , Jinno Hideto
Published: March 2022

DNA methylation is an epigenetic mechanism for gene expression modulation and can be used as a predictor of future disease risks. A prospective birth cohort study was performed to clarify the effects of neurotoxicants on child development, namely, the Tohoku Study of Child Development, in Japan. This study aimed to evaluate the association of prenatal exposure to five toxic metals—arsenic, cadmium, mercury, lead (Pb), antimony (Sb), and polychlorinated biphenyls (PCBs, N = 166)—with global DNA methylation in umbilical cord blood DNA. DNA methylation markers, 5-methyl-2’-deoxycytidine (mC) and 5-hydroxymethyl-2’-deoxycytidine (hmC), were determined using liquid chromatography-tandem mass spectrometry. The mC content in cord blood DNA was positively correlated with Pb and Sb levels (r = 0.442 and 0.288, respectively) but not with cord blood PCBs. We also observed significant positive correlations among Pb levels, maternal age, and hmC content (r = 0.159 and 0.243, respectively). The multiple regression analysis among the potential predictors demonstrated consistent positive associations between Pb and Sb levels and mC and hmC content. Our results suggest that global DNA methylation is a promising biomarker for prenatal exposure to Pb and Sb.
Effects of Inoculation with Lactic Acid Bacteria on the Preservation of Nannochloropsis Gaditana Biomass in Wet Anaerobic Storage and Its Impact on Biomass Quality
Authors: Oginni Oluwatosin , Wahlen Bradley , Wendt Lynn , Walton Michelle , Dempster Thomas , Gerken Henri
Published: March 2022

Wet anaerobic storage of algal biomass is a promising preservation approach which can ensure continuous supply of these feedstocks to biorefineries year-round. An effective solution to preservation must ensure minimal dry matter loss and change in biochemical composition during storage. Therefore, the objective of this study was to investigate the preservation of Nannochloropsis gaditana biomass through wet anaerobic storage and its impact on biomass quality. Prior to storage, algae sample was inoculated with two different strains of lactic acid bacteria and thereafter stored for 30 and 180 days. Each inoculant limited dry matter loss to <10% (dry basis) after the storage durations. Final pH values (4.3 - 4.8) indicate that the biomass samples were properly ensiled, achieving the acidic conditions necessary for preservation. Compositional analysis of the biomass after storage showed a reduction in carbohydrate content, a relative increase in lipid content, and no significant change to the protein fraction. Glucose and galactose were the prevalent sugar monomers. The low dry matter loss and minimal compositional change indicates that wet anaerobic storage is an effective means of preserving algal biomass, ensuring a constant supply of algal biomass feedstock to a biorefinery.
Adequacy of Management Practices in Social Organization in the Health Area in Face of Compliance Guidelines Established by Brazilian Organization
Authors: Slomski Vilma Geni , Brito Agnes , Slomski Valmor , Vasconcelos Ana Lucia , Lugoboni Leonardo Fabris
Published: March 2022

To determine the adequacy of management practices in Social Health Organization (SHO) in face of compliance guidelines established by Brazilian organizations. This was qualitative research. Data were gathered through interviews and documentary analysis and were analyzed through the interpretation of significances and content analysis. The entity structures the compliance function based on three axes: a) normative - institutionalization of the integrity program, ethical conduct, internal controls and risk management; b) commercial - institutionalization of mechanisms aimed at transparency and accountability of the funds raised. However, the Covid-19 pandemic generated unforeseen contingencies such as accountability for funds from private donations; c) organizational - adherence by top management in maintaining a structure for inspection and control of the institution’s processes and behaviors in the market in which it operates. Based on the analysis of documents there is 76% adequacy of adherence of management practices to the compliance guidelines. It is concluded that organizations that depend on resources and understand that the subsidies they receive, whether government, whether public or private donations, will make the necessary efforts to ensure high levels of compliance, their choices and conduct preserve their image and the achievement of greater credibility and legitimacy.
The Influence of Learning Media, Learning Motivation and Mathematics Communication on Mathematics Learning Outcomes
Authors: Hany Bella Asista , Setyaningsih Nining
Published: March 2022

This study aim to determine the relationship between the influence of learning media, learning motivation, and mathematics communication on student learning outcomes. Learning outcomes play an important role in shaping the quality of education today. Qualitative-correlation research was conducted on 215 randomly student populations. The number of samples was determined using Slavin's theory. Junior High School 2 Banyodono was chosen as the research location referring to the results of observations which showed the low scores of the students' final exams. The results showed that the variables had an influence on student learning outcomes of 12.7%, while the remaining 87.3 were influenced by other factors. Learning media, learning motivation, and mathematical communication provide unexpected data, which contributes to student learning outcomes and deserves to be investigated further in this article.
Prediction of Gloss in Plastic Injection Parts Based on 3D Surface Roughness from Virtual Machining with Artificial Neural Networks
Authors: Thasana Wiroj , Wetchakama Weerachart ,   Department of Mechanical Engineering, Rajamangala University of Technology Isan (RMUTI) Surin Campus 145 Moo 15 Surin-Prasat Rd., Nokmuang, Muang District, Surin 32000, Thailand,   Department of Certification Division, Thai Industrial Standards Institute (TISI), Bangkok, Thailand
Published: March 2022

The gloss is one of the most important characteristics of plastic injection molding parts, whereby the molding process needs to consider the influence of the three main factors such as the surface roughness of the cavity, chemical properties of the plastic, and injection parameters. The surface roughness of the plastic injection mold was considered for the gloss that occurs with the parts of the plastic injection processes. Therefore, the objective of this research is to predict the gloss for plastic injection parts based on the artificial neural network method from the input parameters of 3D surface roughness from virtual machining on a 3-axis CNC machining center, and plastic injection parameters. The shape generation motions were mathematically described by combining 4 × 4 transformation matrices including the kinematic motion deviations, machining parameters, end milling ball nose geometries, and cutting force. The results of the research showed the prediction of gloss in plastic injection parts from a neural network model compared to the gloss value of the actually measured workpiece and response surface methodology combined with central composite design. It was found that the average error of the gloss was 2.36%. The proposed method provides us with a systematic method to estimate the gloss for plastic injection parts before producing the actual cavity mold, which leads to increased accuracy as well as efficiency in manufacturing plastic injection parts.
Reduction of the Influence of Non-Repeatable Run-Out in X-Y Plane of Machining Surface
Authors: Showa Yuta , Yoshioka Hayato ,   Makino Milling Machine Co., Ltd. 4023 Nakatsu, Aikawa-machi, Aiko-gun, Kanagawa 243-0303, Japan,   Tokyo Institute of Technology, Yokohama, Japan
Published: March 2022

In recent years, the quality of the machined surfaces of molds for optical or medical instruments has needed improvement, and the fabrication of mirrored surfaces by means of cutting only has been gaining in importance. In order to obtain smooth surfaces, it is necessary to reduce various vibrations in the machine tool during the machining process. Many factors cause vibration in a machine tool, including feed mechanisms, pumps, and chatter. A high-speed spindle for precision machining is one source of vibration, but it is a challenge to avoid the non-repeatable run-out (NRRO) of a spindle. This study has developed an excitation system that can reduce the influence of non-repeatable run-out on machining surfaces. This paper presents a newly-developed excitation system with an excitation unit for each the X and Y direction. The excitation units consist of a voice coil motor and leaf springs, fixed on a spindle head. The tool run-out and vibration of the spindle head are measured by a displacement sensor and an acceleration sensor fixed on the spindle head, and their NRRO components are obtained through extraction using band-pass filters. By using these NRRO components as feedback signals, the excitation unit generates the force to cancel the NRRO of the tool. In order to determine the performance of the developed system, experimental evaluation was performed on a vertical 3-axis machining center. Since the spindle used for evaluation had three bearings, the measured NRRO of the tool had three peaks in the frequency domain. First, we conducted evaluation experiments under non-machining conditions, and all NRRO peaks were reduced by applying the developed system. Furthermore, there was no interference of the excitation units in the X and Y directions. Next, we evaluated the influence of the NRRO of the tool on the machining surface under finish machining conditions. The reduction in NRRO components in the measured surface profiles was observed through feedback. It was concluded that the developed system can reduce the influence of NRRO on machining surfaces.
Measurement of Machine Tool Two-Dimensional Error Motions Using Direction-Regulated Laser Interferometers
Authors: Maruyama Daichi ,   Graduate School of Advanced Science and Engineering, Hiroshima University 1-4-1 Kagamiyama, Higashi-hiroshima, Hiroshima 739-8511, Japan, Ibaraki Soichi , Sakata Ryoma
Published: March 2022

The volumetric accuracy of a machine tool generally changes with time. Its periodic check, performed at a user’s site in a semi-automated manner, can be a key to ensure a sufficient volumetric accuracy in the long term. A laser interferometer can only measure the linear positioning error motion of a linear axis. This paper proposes a scheme to identify all the two-dimensional (2D) error motions of two linear axes in a plane based on a set of distance measurements using only a laser interferometer. Unlike conventional tracking interferometers, the proposed scheme requires only a numerically controlled rotary table on which a laser interferometer is mounted. It regulates the laser beam direction based on the command target position in an open-loop control manner. This paper presents an algorithm to identify 2D error motions of two linear axes by performing only a single tracking test, in addition to the direct measurement of linear positioning error motions of two linear axes. The experimental comparison of the estimated error motions with their direct measurements is presented. The uncertainty analysis is also presented.
Viewpoint Planning for Object Identification Using Visual Experience According to Long-Term Activity
Authors: Yamazaki Kimitoshi ,   Shinshu University 4-17-1 Wakasato, Nagano City, Nagano 380-8553, Japan, Nogami Kazuki , Nagahama Kotaro
Published: March 2022

In this paper, we propose a viewpoint planning method for object identification. We introduce the policy of maximizing the posterior probability of the orientation of an object observed after a robot moves its viewpoint and show a novel formulation of viewpoint planning. In addition, we propose criteria for viewpoint selection based on past sensing experience. Finally, we confirm the effectiveness of the proposed method via simulations using a mobile manipulator.
Agencia y pobreza en la población económicamente activa mexicana
Authors: Herrera Rendón Nebel María Teresa , Díaz Carreño Miguel Ángel
Published: March 2022

En esta investigación se subraya la importancia de la libertad de agencia para mejorar los niveles de pobreza en la población económicamente activa mexicana. Consideramos que la libertad de agencia es una condición básica para reducir la pobreza y mejorar el bienestar en nuestra sociedad. Hemos elegido un espacio particular en el cual se desenvuelven 54,696,638 personas en México, que conforman el mundo de la población económicamente activa. Tomamos como proxy de libertad de agencia a la responsabilidad, dentro de sus tres categorías: responsabilidad anterior (ex–ante), responsabilidad posterior (ex-post) y responsabilidad autrui (ex–aliud). Los resultados muestran que en México hace falta responsabilidad autrui por parte de las instituciones y empresas y responsabilidad posterior del trabajador. Los bajos niveles en estos dos tipos de responsabilidad no permiten avanzar ni en el mejoramiento de las condiciones de empleo ni en los niveles de pobreza de los trabajadores no cualificados.
OPTIMISATION OF PURCHASING STRATEGY OF TOOLS AND COMPONENTS BASED ON EXCHANGE CURVE THEORY
Authors: Bányai Ágota
Published: March 2022

The optimal inventory control of tools and components in manufacturing systems plays an important role in the success of sustainable operation from financial and ecologic point of view. This study discusses an inventory control method, which is based on the transformation of investment of inventory into annual order cost or vice versa. The study presents the mathematical model of the exchange curve model for tools and components in the case of economic order quantity inventory strategy. The described methodology makes it possible to optimise available purchasing strategies for tools and components. The approach was tested with a scenario analysis, where different parameters of the purchasing process including inventory related constraints were taken into consideration. The computational results validated the exchange curve based inventory control methodology and showed that the inventory strategy can be improved with cost transformation Practical implications of the proposed model and method regard the possibility of finding optimal inventory policies that can affect the operation costs of manufacturing systems.
EVALUATION OF PERFORMANCE EFFICIENCY OF PACKING A GROUP OF PRODUCTS IN THE WORKPLACE OF ADDITIVE MACHINE USING A GENETIC ALGORITHM
Authors: Garashchenko Yaroslav
Published: March 2022

Research results of possibilities of packing a group of 3D-models of products in a layered build space using a genetic algorithm are presented. It is proposed to determine the efficiency of the optimization problem of rational arrangement of 3D-models group in the workspace of additive machines depending on the number of loaded products. Condition for efficient use of the layered build workspace is the minimum number of layers per product and the largest relative filling. Such criteria are important, for example, for SLS/SLM technologies. Examples of evaluation based on the analysis of derived voxel 3D model of the workspace with located products are considered. Industrial products with different geometrical complexity were selected as test 3D models. This approach allowed to perform a comparative analysis of the results depending on the design features of products. The practical realization was performed in the subsystem of packing 3D-models in a workspace, which is part of the technological preparation system for the manufacture of complex products by additive methods. This system was developed at the Department of "Integrated Technologies of Mechanical Engineering" named after M. Semko of NTU "KhPI".
METHODOLOGY OF DEFINITION OF OPTIMAL DIAMOND WHEEL CHARACTERISTICS AT STAGES OF PRODUCTION AND OPERATION
Authors: Fedorovich Vladimir , Pyzhov Ivan , Ostroverkh Yevgeniy
Published: March 2022

The problem of increase of effectiveness of manufacturing and application of diamond-abrasive tool is still a challenging research subject. Development of computer facilities opens up possibilities for development of three-dimensional (3D) methodology of integrated study of the interconnected processes of manufacturing and exploitation of diamond-abrasive tool and improvement of the single-point tool reliability at the stage of tool sharpening. Creation of the methodology of 3D simulation of processes of diamond-abrasive tool sintering and processes of machining allows to increase essentially validity of the obtained results, to reduce volume of experimental researches for definition of optimum grinding conditions and to develop new technologies, tools and equipment. The developed methodology gives the opportunity to create expert system for assignment of rational characteristics of diamond wheels and grinding modes. The proposed 3D methodology to research processes of diamond-abrasive machining covers all basic stages of life cycle of the tool, including processes of manufacturing and exploitation. Subsystem of computer-generated determination of conditions of manufacturing of defect-free diamond wheels and grinding of superhard materials on the base of 3D simulation of deflected mode of elements of the "SHM crystal grain – metal phase – grain – bond" system at process of diamond wheel sintering and grinding is developed.
THE EFFECT OF ELASTIC RECOIL OF CLOSED-TYPE LIFTING ROPES AFTER THEIR MANUFACTURE AND DRAWING
Authors: Kurgan Viktor , Sydorenko Ihor , Vaysman Vladyslav , Pavlyshko Andrey , Litvinov Volodymyr , Vovk Viktoria
Published: March 2022

A study was made of stresses and factors of internal forces in the elements of ropes of a closed structure during their manufacture. It is established that when twisting a rope of closed construction, its shaped wires suffer from bending deformation, twisting and stretching. In this case, the shaped wires are subjected to a complex load with the concomitant rotation of the axes of the stress tensor. The stresses in the elastic cross-sectional area of the rope wire are considered and its limit is determined for shaped cross-sections and for asymmetric shaped cross-sections. Formulas for approximate determination of tangential and normal stresses in the elements of a closed rope of non-circular profile are obtained: (wedge-shaped, zeta-shaped and x-shaped).
Saccular Pathology Is Most Commonly Found in Patients With General Vestibular Disorders
Authors: Lee Jeon Mi , Lee Hyun Jin , Kim Jungghi , Shin Seung Ho , Na Gina , Shim Dae Bo , Kim Sung Huhn
Published: March 2022

Objectives. The first purpose of this study was to investigate the difference in the frequency of involvement of the superior vestibular nerve (SVN) and inferior vestibular nerve (IVN) territories in general vestibular disorders, and to identify which IVN territory was more commonly involved in patients with IVN lesions. The second purpose was to investigate the correlation of the degree of each saccular and posterior semicircular canal (PSCC) dysfunction, as represented by the parameters of cervical vestibular evoked myogenic potential (cVEMP) and video head impulse test (vHIT), in patients with pathology of the IVN territory.Methods. In total, 346 patients with dizziness who underwent the caloric test, cVEMP, and vHIT were enrolled. Canal weakness in the caloric test, interaural amplitude difference (IAD) of cVEMP, and vestibulo-ocular reflex gain of the vestibulo-ocular reflex gain of the posterior semicircular canal (p-VOR) in vHIT were analyzed.Results. Among the enrolled patients, 15.6% had total vestibular nerve dysfunction, 14.5% had solely SVN dysfunction, and 29.5% had solely IVN dysfunction. Isolated saccular pathology was most common in patients with IVN pathology, followed by those with total IVN dysfunction and PSCC dysfunction. IAD and p-VOR were statistically well correlated, and the correlation was strongest in patients with both pathologic IAD and pathologic p-VOR (n=23, r=0.944), followed by patients with normal IAD and pathologic p-VOR (n=27, r=0.762) and patients with pathologic IAD and normal p-VOR (n=106, r=0.339).Conclusion. Abnormal results were more common in vestibular tests investigating the IVN than in vestibular tests investigating the SVN in patients with general vestibular disorders. Isolated saccular pathology was more frequent than PSCC or combined pathology in patients with IVN dysfunction. Patients with abnormal p-VOR in vHIT had a higher probability of having both saccular and PSCC pathologies than patients with an abnormal IAD. This study describes the characteristics of vestibular-system subregions and provides guidance for clinically interpreting the combination of cVEMP and vHIT results.
Transcriptomic Analysis of Papillary Thyroid Cancer: A Focus on Immune-Subtyping, Oncogenic Fusion, and Recurrence
Authors: Park Seung-Jin , Kang Yea Eun , Kim Jeong-Hwan , Park Jong-Lyul , Kim Seon-Kyu , Baek Seung-Woo , Chu In Sun , Yi Shinae , Lee Seong Eun , Park Young Joo , Chung Eun-Jae , Kim Jin Man , Ko Hye Mi , Kim Je-Ryong , Jung Seung-Nam , Won Ho-Ryun , Chang Jae Won , Koo Bon Seok , Kim Seon-Young
Published: March 2022

Objectives. Thyroid cancer is the most common endocrine tumor, with rapidly increasing incidence worldwide. However, its transcriptomic characteristics associated with immunological signatures, driver fusions, and recurrence markers remain unclear. We aimed to investigate the transcriptomic characteristics of advanced papillary thyroid cancer.Methods. This study included 282 papillary thyroid cancer tumor samples and 155 normal samples from Chungnam National University Hospital and Seoul National University Hospital. Transcriptomic quantification was determined by high-throughput RNA sequencing. We investigated the associations of clinical parameters and molecular signatures using RNA sequencing. We validated predictive biomarkers using the Cancer Genome Atlas database.Results. Through a comparison of differentially expressed genes, gene sets, and pathways in papillary thyroid cancer compared to normal tumor-adjacent tissue, we found increased immune signaling associated with cytokines or T cells and decreased thyroid hormone synthetic pathways. In addition, patients with recurrence presented increased CD8+ T-cell and Th1-cell signatures. Interestingly, we found differentially overexpressed genes related to immune-escape signaling such as CTLA4, IDO1, LAG3, and PDCD1 in advanced papillary thyroid cancer with a low thyroid differentiation score. Fusion analysis showed that the PI3K and mitogen-activated protein kinase (MAPK) signaling pathways were regulated differently according to the RET fusion partner genes (CCDC6 or NCOA4). Finally, we identified HOXD9 as a novel molecular biomarker that predicts the recurrence of thyroid cancer in addition to known risk factors (tumor size, lymph node metastasis, and extrathyroidal extension).Conclusion. We identified a high association with immune-escape signaling in the immune-hot group with aggressive clinical characteristics among Korean thyroid cancer patients. Moreover, RET fusion differentially regulated PI3K and MAPK signaling depending on the partner gene of RET, and HOXD9 was found to be a recurrence marker for advanced papillary thyroid cancer.
Legal Protection Against Substitute Heirs Based on Islamic Law
Authors: Tisnawati Novita Ernila , Purwaningsih Sri Budi
Published: March 2022

This study aims to determine and analyze the determination of substitute heirs in the Decision of the Sidoarjo Religious Court Number 1498/Pdt.5/2020/PA.Sda and the Judge's Decision whether to consider the principles of Islamic inheritance law in accordance with the Compilation of Islamic Law on legal protection of substitute heirs. This research method uses a normative research type using a case approach. By collecting data on primary legal materials and secondary legal materials from court decisions and materials related to problems, namely scientific articles, journals. The analysis of legal materials begins through a literature study, which begins with an inventory by collecting the legal rules as a whole by relating to the main issues that exist. As in the case of inheritance rights disputes that occur as a result of one of the heirs not wanting to divide each part by deliberation. So that it can be used as a valid reason to file a dispute. This study concludes that the Sidoarjo Religious Court in deciding cases of inheritance rights disputes, uses Islamic inheritance law as a material consideration that is adapted to the Compilation of Islamic Law to make the decision. In addition, it also uses the principle of balanced justice to determine the share of heirs and substitute heirs.
Reproducir la Edad Media. La Arqueología Experimental como espacio de aprendizaje
Authors: López Rider Javier , Córdoba de la Llave Ricardo , Conde González Mª Trinidad
Published: March 2022

Este estudio consiste en dar a conocer el desarrollo de un proyecto de innovación docente que tiene como principal método de enseñanza la Arqueología Experimental, con la finalidad de mejorar el aprendizaje de la Historia Medieval. Es llevado a cabo en la asignatura Tendencias historiográficas I: Prehistoria, Antigua, Medieval, de 1º del Grado de Historia de la Universidad de Córdoba, durante el curso 2020-2021. La premisa principal del proyecto se basa en adquirir los conocimientos de forma empírica, donde el estudiante se motiva y empatiza al participar directamente en la reconstrucción e interpretación del pasado frente a lo aprendido en el libro de texto. El planteamiento ha consistido en selección, lectura paleográfica y análisis del contenido de una receta medieval, que los estudiantes debían entregar por escrito, y reproducción y explicación de esa receta a través de la experimentación arqueológica en clase de grupo reducido, con preparación de ingredientes y utensilios para su elaboración. Posteriormente, aquellos grupos que fabricaron mejores productos en el aula universitaria, los volvieron a realizar con el alumnado de 3-5 años de la Escuela Infantil Margaritas de Córdoba. El resultado ha sido una enseñanza novedosa, motivadora y de gran aceptación por parte del alumnado universitario, al convertirse en los protagonistas de su propio aprendizaje.
A Bayesian Framework for Addressing the Uncertainty in Production Forecasts of Tight-Oil Reservoirs Using a Physics-Based Two-Phase Flow Model
Authors: Ruiz Maraggi L. M. , Lake L. W. , Walsh M. P.
Published: March 2022

Extrapolation of history matched single-phase flow solutions is a common practice to forecast production from tight-oil reservoirs. Nonetheless, this approach (a) omits multiphase flow effects that exist below bubblepoint conditions and (b) has not included the quantification of the uncertainty of the estimated ultimate recovery (EUR). This work combines a new two-phase (oil and gas) flow solution within a Bayesian framework to address the uncertainty in the EUR. We illustrate the application of the procedure to tight-oil wells of west Texas.

First, we combine the oil and the gas flow equations into a single dimensionless two-phase flow equation. The solution is a dimensionless flow rate model that can be easily scaled using two parameters: hydrocarbon pore volume and characteristic time. Second, this study generates the probabilistic production forecasts using a Bayesian approach in which the parameters of the model are treated as random variables. We construct parallel Markov chains of the parameters using an adaptative Metropolis-Hastings (M-H) Markov chain Monte Carlo (MCMC) for this purpose. Third, we evaluate the robustness of our inferences using posterior predictive checks (PPCs). Finally, we quantify the uncertainty in the EUR percentiles using the bootstrap method.

The results of this research are as follows. First, this work shows that EUR estimates based on single-phase flow solutions will consistently underestimate the ultimate oil recovery factors in solution-gas drives where the reservoir pressure is less than the bubblepoint. The degree of underestimation will depend on the reservoir and flowing conditions as well as the fluid properties. Second, the application of parallel Markov chains using an adaptative M-H MCMC scheme that addresses the correlation between the model’s parameters solves the issues of mixing and autocorrelation of Markov chains and, thus, it speeds up speeding up the convergence of the Markov chains. Third, we generate replicated data from our posterior distributions to assess the robustness of our inferences (PPCs). Finally, we use hindcasting to calibrate and strengthen our inferences. To our knowledge, all these approaches are novel in EUR forecasting.

Using a Bayesian framework with a low-dimensional (two-parameter) physics-based model provides a fast and reliable technique to quantify the uncertainty in production forecasts. In addition, the use of parallel chains with an adaptative M-H MCMC accelerates the rate of convergence and increases the robustness of the method.
Evaluating the Impact of COVID-19 Pandemic on The Physicians’ Psychological Health; A Scoping Systematic Review
Authors: Guraya Shaista Salman , Menezes Prianna , Lawrence Isabell Nelson , Guraya Salman Yousuf , Rashid-Doubell Fiza
Published: March 2022

Background COVID-19 has endangered healthcare systems at multiple levels worldwide. Published data suggests that moral dilemmas faced during these unprecedented times have placed physicians at the intersections of ethical and unethical considerations. This phenomenon has questioned the physicians' morality and how that has affected their conduct. Our review taps into the spectrum of the transforming optics of patient care during the pandemic and its impact on psychological wellbeing.Methods We adopted the Arksey and O’Malley’s framework, defining research questions, identifying relevant studies, selecting the studies using agreed inclusion and exclusion criteria, charting the data, and summarizing and reporting results. Databases of PubMed/Medline, Web of Science, Scopus, Science Direct, CINAHL, and PsycInfo were searched using a predefined search string. The retrieved titles and abstracts were reviewed. Later, a detailed full-text analysis of the studies which matched our inclusion criteria was performed. ResultsOur first search identified 875 titles and abstracts. After excluding duplicates, irrelevant, and incomplete titles, we selected 28 studies for further analysis. The total sample size in 28 studies was 15,509 with an average sample size of 637 per study. Both quantitative and qualitative approaches were used, with cross-sectional surveys being utilized in all 16 quantitative studies and the most common qualitative study design used semi-structured interviews. A number of discrete codes were generated which led to the identification of five main themes; mental health, individual challenges, decision-making, change in patient care, and support services.ConclusionThis scoping review reports an alarming rise in psychological distress, moral injury, cynicism, uncertainty, burnout and grief among physicians during the pandemic. Decision-making and patient care was mostly regulated by rationing, triaging, age, gender and life expectancy. Poor professional controls and institutional services potentially led to physicians’ crumbling wellbeing. This research calls for the remediation of the deteriorating mental health and restoration of medical profession’s advocacy and equity.
Choroidal vascularity index changes in chronic migraine patients
Authors: Sezer Taha
Published: March 2022

Purpose: Migraine is a neurovascular disorder characterized by recurrent headaches. The relationship between migraine disease and the choroid, has been examined in an attempt to elucidate the underlying pathophysiological mechanisms. This study evaluated choroidal vascularity index (CVI) in chronic migraine patients.Methods: In this prospective study, we compared CT and CVI values of 36 chronic migraine patients (30 women and 6 men) during an attack-free period with those of 36 healthy individuals (30 women and 6 men) with no systemic or ocular disease, including headache. All patients underwent a detailed eye examination before enhanced depth imaging optical coherence tomography (EDI-OCT) imaging. Migraine patients were grouped as those with and without aura and were asked to rate their headache severity on visual analog scale (VAS; range 1-10) and estimate their monthly migraine frequency.Results: The mean subfoveal CT (SFCT) was 300.52 ± 88.30 µm in the migraine group and 262.85 ± 70.68 µm in the control group. The mean CVI was 71.8% ± 6.2% in the migraine group and 70.7% ± 5.3% in the control group. SFCT and CVI did not differ significantly between the migraine and control groups (p>0.05). VAS pain score was 8.17 ± 0.33 in the migraine group and was not correlated with SFCT (r=0, p=0.998) or CVI (r=−0.06, p=0.731). The monthly migraine frequency was 5.60 ± 3.60 and was not correlated with SFCT (r=−0.17, p=0.328) or CVI (r=−0.06, p=0.731).Conclusion: CT and CVI showed no significant differences from controls in chronic migraine patients during an attack-free period.
Evaluation of Daily Suspended Sediment Load Using Deep Learning Models
Authors: Sahoo Bibhuti Bhusan , Dalai Chitaranjan , Srika B , Bhushan Mani
Published: March 2022

Precise and reliable suspended sediment load (SSL) prediction models can help ensure the integrated water resources management in a river basin. This study considered two deep learning (DL) models i.e. gated recurrent unit (GRU) and long short term memory (LSTM) for daily SSL modeling in the Missouri River at Omaha, NE gauging station in the United States. The established models are verified with various statistical measures. The assessment of prediction accurateness of the DL models showed that the GRU was the best model in SSL prediction. The coefficient of determination was 0.871 for the GRU and 0.865 for LSTM. Besides, the GRU model has a lesser root mean square error (RMSE) and mean absolute error (MAE) compared to the LSTM. In summary, both the developed DL model can be used competently in SSL modeling. However, GRU utilizes less training constraints and thus uses a lesser amount of memory, performs quicker, and trains faster than LSTM, while LSTM needs additional data to be more accurate.
Sorafenib Inhibits Interferon Production by Plasmacytoid Dendritic Cells in Hepatocellular Carcinoma
Authors: Zhang Xinning , Xu Yong , Zhao Guodong , Liu Rong , Yu Haisheng
Published: March 2022

Background：Sorafenib is a multi-kinase inhibitor that shows antitumor activity in advanced hepatocellular carcinoma. Sorafenib exerts a regulatory effect on immune cells, including T cells, natural killer cells and dendritic cells. Studies have shown that plasmacytoid dendritic cells (pDCs) are functionally impaired in cancer tissues or produce low IFNα in cancer microenvironments. However, the effects of sorafenib on the function of pDCs have not been evaluated in detail.Methods: Normal and patient PBMCs were stimulated with CpG-A to evaluate IFNa production with Flow cytometry and ELISA. Result: We analyzed the production of type I interferon (IFNα) by PBMCs in patients with advanced HCC under sorafenib treatment. We found that sorafenib-treated HCC patients produced less IFNα than untreated patients. Furthermore, we demonstrated that sorafenib suppressed the production of IFNα by PBMCs or pDCs from heathy donors in a concentration-dependent manner. Conclusion: Sorafenib suppressed pDCs function. Given that sorafenib is a currently recommended targeted therapeutic agent against cancer, our results suggest that its immunosuppressive effect on pDCs should be considered during treatment.
Real-time Intelligent Diagnosis of Co-Frequency Vibration Faults in Rotating Machinery Based on Lightweight-Convolutional Neural Networks
Authors: Pan Xin , Zhang Xiancheng , Jiang Zhinong , Bin Guangfu
Published: March 2022

The co-frequency vibration fault is one of the common faults in the operation of rotating equipment, and realizing the real-time diagnosis of the co-frequency vibration fault is of great significance for monitoring the health state and carrying out vibration suppression of the equipment. In engineering scenarios, co-frequency vibration faults are highlighted by rotational frequency and difficult to identify, and existing intelligent methods require more hardware conditions and exclusive time-consuming. Therefore, lightweight-Convolutional Neural Networks (LW-CNN) algorithm is proposed in this paper to achieve real-time fault diagnosis purpose. For the sliding window data augmentation method, the important parameters are discussed and verified by simulated and experimental signals. Based on LW-CNN and data augmentation, the real-time intelligent diagnosis of co-frequency is realized. Moreover, a real-time detection method of fault diagnosis algorithm is proposed for the process from data acquisition to fault diagnosis. It is verified by experiments that the LW-CNN and sliding window method are used with high accuracy and real-time performance.