bluuebunny/crossref_metadata_2025 huggingface dataset:
LOSS ANALYSIS IN BREAD PRODUCTION PROCESS USING MATERIAL FLOW COST ACCOUNTING TECHNIQUE
Authors:   Student, Master’s Degree Program in Industrial Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand, Yoddee Bunyaporn , Chompu-inwai Rungchat ,   Ph.D., Department of Industrial Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand
Published: November 2023

The case study factory manufactures a range of bread and bakery products for distribution in the North of Thailand. Losses from the production process were recently discovered, which besides being lost costs, also impacted the environment. This research is conducted under the concept of Material Flow Cost Accounting (MFCA) to analyze the losses from each process of the case study bread factory. This is to pinpoint where most of the losses occur and suggest methods for future improvement. This research is conducted with the principle of Plan Do Check Action (PDCA). The “Plan” was to determine a target product, which in this case was raisin bread, as it accounted for the largest proportion of production. Subsequently, a study was conducted of the production process, and a scope under the “Do” stage of the procedure was determined. Input and output factors were identified for each Quantity Center (QC) in both physical units and financial units. Subsequently at the “Check” stage, an analysis of costs was conducted for each QC with the MFCA technique. This was divided into positive product, meaning costs generating revenue, and which were manifest in the product, and negative product, which were costs not generating revenue and were losses from each production stage. Finally, at the “Action” stage, negative products were ranked using Pareto diagram to identify and evaluate opportunities for improvement. The research found that the total costs to produce one production lot of raisin bread were 2,935.55 THB, which were divided into materials costs of 2,270.79 THB (77.35%), system costs of 500.30 THB (17.04%) and energy costs of 164.46 THB (5.60%). Overall, negative product was 25.19%, of which negative product in material costs was 19.41%. This negative product was wastage and losses from dough and fillings being deposited in the machinery, and the failure of packaging films when they were being installed in the packing machine. It was also found that negative materials costs arose maximum in the QC of packing. The conclusions from this research are that it has informed about losses arising in the production process and evaluated them in the form of costs, which should help in proposing methods to reduce this wastage in the future.
SoTL in Human Movement Sciences: Moving Forward in South Africa
Authors: Schreck Cornelia , Du Plessis Alretha , Coetzee Dané , Bisschoff Christo , Oosthuizen Jacobus , Kahts-Kramer Samantha
Published: November 2023

The Scholarship of Teaching and Learning (SoTL) is an emerging focus within South Africa (SA). In Human Movement Sciences (HMS) in SA, research is primarily discipline-specific, and many researchers are unfamiliar with SoTL. To explore how we (as HMS lecturers) could integrate SoTL into our research, we formed a community of practice (CoP). The SoTL unicycle depiction of Swart et al. (2016) suited our visual analogy since the focus of HMS is on the human body that is in motion. For us, the unicycle represented HMS SoTL in motion. Swart et al. (2016) viewed the SoTL movement as an academic’s individual journey, whereas we saw SoTL from a CoP perspective. Therefore, we adapted the unicycle into a tandem bicycle, representing our collaborative engagements. Participatory action learning and action research (PALAR) formed our theoretical framework. Through our dialogue, each tandem wheel’s focus emerged. The back wheel was about deciding to SoTL (or not). This became a linchpin of our critical dialogue during the relationship-building phase of our CoP. Once we committed, we needed to learn how to keep our CoP moving forward. This became the middle wheel of our tandem bicycle. Next, the front wheel and handlebar became our guide into what the future of SoTL would be for us. The tandem bicycle, therefore, represents our collective cycles of learning as we became SoTL researchers. We believe our learning can support others transitioning from discipline-specific research to engaging in SoTL.
 
*Please note that this poster is best viewed in Adobe on a computer/laptop for interactivity.
 
Click here to read the corresponding ISSOTL blog post.
A Case Report of Radial Artery Pseudoaneurysm After Repeated Radial Puncture for Arterial Blood Gas
Authors: Carvalho Nuno , Blaivas Michael , Caroselli Costantino
Published: November 2023

Arterial blood gas, with subsequent radial arterial puncture as a simple access point, comprises a ubiquitous medical procedure in the diagnostic workup of patients admitted to the emergency department with dyspnea. Despite being a relatively safe and technically straightforward procedure, due to its considerable use, it is of vital importance to be able to promptly recognize its potential complications. We present the case of a 96-year-old female patient admitted to the emergency department with dyspnea and cough who underwent left radial arterial puncture for arterial blood gas. A total of three puncture attempts were performed until arterial blood was collected. Roughly two weeks upon observation, the patient was readmitted to the emergency department after the insidious appearance of a painful swelling in the left wrist, with progressive worsening since hospital discharge. On physical examination, a painful erythematous pulsatile swelling in the left wrist’s volar aspect was observed, and further point-of-care ultrasound evaluation documented a cysticlike collection, communicating with the radial artery’s lumen, and suggesting the probable diagnosis of iatrogenic radial pseudoaneurysm. The patient was hospitalized and underwent surgical resection of radial pseudoaneurysm, with subsequent arterial repair. Although severe complications from arterial blood gas have a low incidence rate, prompt diagnosis and management are required. Therefore, point-of-care ultrasound, as an additional diagnostic tool, may play a role in minimizing the risk of procedural complications.
THE DOCTRINE OF BEHAVIORISM IN A NARRATIVE STRUCTURE OF THE FIRST D.L. TARTT’S NOVEL
Authors:   Derzhavin Tambov State University, Potanina N.L. , Tenyushev B.I. ,   Derzhavin Tambov State University
Published: November 2023

The article raises the actual problem of the transfer of knowledge and its modern interpretations in scientific and artistic discourses. The purpose of the article is to analyze the ideas of behaviorism interpreted as a poetical resource in modern literature. The subject matter of the study is the narrative structure of modern American novel. The methodology of the material research is based on an integrated approach that combines elements of cultural-historical narratological, poetological and cognitive-discursive methodsnarratological and poetological approaches, methods of discursive analysis and cognitive poetics. While considering the poetological content of D.L. Tartt’s representative text, we prove that the appeal to the doctrine of bihaviorism is dictated by the need for discussing the key problems of human capabilities. The doctrine of behaviorism becomes an incentive for the characters to make vital decisions. This allows to conclude that psychological knowledge and behaviorism as its leading trend in American science were very influential in the youth’s consciousness, which was reflected in the first novel by D.L. Tartt. At the same time, the author’ critical attitude to behaviorism is obvious. The practical significance of the results of the article consists in the development of methods and techniques for studying the features of the incorporation of scientific knowledge into a literary text.
LITERARY CONCEPT NATURE IN THE ASPECT OF LINGUISTIC SENSORICS: REPRESENTATION OF EMOTIVE MEANING
Authors:   Saint Petersburg State University, Petukhova T.I. , Khomyakova E.G. ,   Saint Petersburg State University
Published: November 2023

The article deals with the linguistic representation of nature perception. The aim of the research is to identify the emotive meaning transmitted in fiction and to reveal the role of the concept NATURE in the construction of the plot line. The novelty of the research consists in the complex methodological approach based on semantic, pragmatic, contextual, cognitive and discursive analysis. The research methodology includes analysing the situations of visual, olfactory, audial, tactile, and gustatory perception, the identification of dominant channels of nature perception, the description of the emotivity, the investigation of the role of the NATURE concept in the development of the plot. The study reveals cases of consonant and dissonant interaction between the evaluative interpretation of nature and the emotional state of characters and the phenomenon of emotional-evaluative resonance. The research has shown the possibility of singling out the discourse-forming function of the literary concept NATURE, which is conditioned by its significance in the construction of the storyline and the actualization of the emotive meaning. The results of the research may be used in the works on discourse analysis, in pragmatic and cognitive researches of fiction discourse.
Massive nitrogen supersaturation to CoCrMo alloys for surface microstructure control
Authors: Aizawa Tatsuhiko , Funazuka Tatsuya , Shiratori Tomomi , Suzuki Yohei
Published: November 2023

CoCrMo alloys were plasma nitrided at 673 K for 14.4 ks to form a homogeneous nitrided layer with a thickness of 12 μm. This nitrogen-supersaturated layer had an expanded γ-phase with fine CrN precipitates. The nitrogen solute distributed homogeneously with its average content of 5 mass% toward the nitriding front end. This nitrided CoCrMo alloy matrix with its average grain size of 20 μm was plastically strained by the nitrogen supersaturation to significantly modify its original crystallographic microstructure. This nitrided layer consists of intensely textured grains with the orientation of (111) in the normal direction. The nitrided and textured layer had higher hardness 1,620 HV1N than the original polycrystalline CoCrMo matrix, 400 HV1N. Its average friction coefficient against the SUJ2 ball in dry was 0.4–0.5 under the applied load of 5 N and the sliding speed of 0.1 m/s.
Development of Multibacillary Leprosy Medication Adherence Evaluation Questionnaire (ML-MAEQ) in Indonesian Patients
Authors: Simamora Laura Sendy , Menaldi Sri Linuwih , Herqutanto NFN , Miranda Eliza , Bramono Kusmarinah
Published: November 2023

Adherence with multidrug therapy (MDT) is one of the keys to successful treatment of leprosy. In order to understand the treatment behavior, reasons for non-adherence, and efforts to improve medication adherence, it is necessary to use a valid and reliable instrument to measure adherence to MDT in multibacillary leprosy patients on regular basis. This study used a mixed method de-sign. The instrument development phase involved 10 experts using 4 rounds of Delphi method. Assessment items that are considered relevant are those that meet 4-5 Likert scale by a minimum of 75% of experts or meet assessment score >3.75. We did the pilot testing and the questionnaire was revised if invalid. After obtaining a valid and reliable instrument, it was tested to 100 sub-jects in 4 health centers. For internal validity test, 9 valid assessment items were obtained, with the correlation coefficient values of each item >0.3, and -Cronbach's reliability of 0.723. The instru-ment produced had sensitivity of 88.46% and specificity of 78.37%. From 100 subjects enrolled, 61% had good adherence and 39% had poor adherence based on questionnaire assessment. A valid and reliable questionnaire for evaluating adherence with MDT in Indonesian patients has been composed.
Wildfire-Induced Risk Assessment to Enable Resilient and Sustainable Electric Power Grid
Authors: Kovvuri Srikar , Chatterjee Paroma , Basumallik Sagnik , Srivastava Anurag
Published: November 2023

To ensure sustainability of the future power grid, the rate of expansion of distributed renewable energy resources (DRER) has introduced operational challenges. These includes managing transmission constraints with DRER power injection, dispatching DRER efficiently, managing system frequency and ensuring sufficient reactive power for voltage support. Coupled with the intensification of wildfires, power infrastructure across the United States faces challenges to minimize the impact to maintain system reliability and resiliency. This research embarks on a comprehensive evaluation, beginning with an in-depth historical analysis to delineate regions most susceptible to wildfires. Utilizing a multidimensional approach, the study assesses wildfire-induced risks to power grids, by integrating historical wildfire occurrences, real-time wildfire proximities, Moderate Resolution Imaging Spectroradiometer (MODIS) derived vegetation metrics, and system parameters, by employing Principal Component Analysis (PCA) based optimal weights, leading to the formulation of a novel risk factor model. This risk factor has the potential to be the key to ensuring the resilience of a renewable-rich smart grid when faced with a severe weather event. Our model’s applicability was further verified through an empirical assessment, selecting representative networks from diverse regions, providing insights into the geographical variability of risk factors. Ultimately, this study offers stakeholders and policymakers a comprehensive tool-set, empowering decisions regarding infrastructure investments, grid reinforcements, and strategic power rerouting to ensure consistent energy delivery using risk assessment against wildfire.
Experimental Study on Seismic Behavior of Newly Assembled Concrete Beam-Column Joints with L-shaped Steel Bars
Authors: Lv Mengjiao , Yang Taochun , Yin Changlei , Pan Yongjie , Lin Mingqiang
Published: November 2023

A novel concrete beam-column connection utilizing L-shaped steel bars is proposed to address the growing demand for prefabricated buildings and to ensure good seismic performance in such beam-column structures. After positioning two prefabricated beams with L-shaped tendons into the designated connection points at the top and bottom of the columns, concrete is poured into the post-cast section of the joint and the composite beam area, realizing a connection between the beams and columns. Quasi-static tests were performed on four combined nodes and one cast-in-place node to investigate their failure modes and stress mechanisms. Seismic performance indices, including hysteretic curves, skeleton curves, ductility performance, and energy dissipation capacity, were analyzed. Concurrently, the finite element method (FEM) was employed for parameter analysis. By integrating the test and FEM results, an equation for calculating the shear capacity of the connection was derived. The findings demonstrate that the hysteresis curve of the newly developed prefabricated joints is relatively full, with their overall performance index comparable to that of cast-in-place joints. Additionally, enhancing the post-casting area of concrete, the length of the L-shaped bars, the concrete strength in the composite beam region, the axial compression ratio, or the steel tube dimensions can effectively improve overall performance. The derived equation for the shear-bearing capacity of the connection satisfies design and application requirements.
Pengembangan Potensi Wisata Hutan Pinus di Kecamatan Karangtengah, Wonogiri, Jawa Tengah
Authors: Sugiarto Catur , Ratriyanto Adi , Suryanadi Pram , Mulyadi Mulyadi , Okid Parama Astirin
Published: November 2023

Wonogiri merupakan salah satu kabupaten di Jawa Tengah yang memiliki ragam destinasi wisata alam yang menarik seperti wisata air terjun, gunung, waduk dan hutan. Salah satu destinasi yang memiliki potensi besar untuk dikembangkan adalah wisata hutan Pinus. Hutan Pinus di Kabupaten Wonogiri terletak di beberapa desa yang tersebar di sembilan kecamatan termasuk di antaranya di desa Temboro Kecamatan Karangtengah. Hutan pinus di Karangtengah memiliki keunggulan selain kondisi alam dan ekosistem yang masih sangat terjaga, lokasi hutan ini memiliki pesona alam yang indah untuk dapat dikelola menjadi daya tarik wisata yang akan banyak diminati. Untuk mencapai tujuan tersebut diperlukan perencanaan pengembangan destinasi dan penerapan strategi pemasaran yang efektif. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memberikan edukasi kepada masyarakat dan pengelola hutan mengenai arti penting pengelolaan hutan pinus sebagai destinasi wisata dalam meningkatkan pertumbuhan ekonomi masyarakat dan menopang pembangunan daerah. Selama ini hutan pinus di kecamatan Karangtengah baru dimanfaatkan untuk keperluan masyarakat dalam fungsinya sebagai ekosistem hutan biasa seperti pemanfaatan getah, penggunaan kayu dan kulit pohon pinus, dan berbagai aktivitas keseharian masyarakat di hutan, namun belum dioptimalkan sebagai destinasi wisata alam. Program pengabdian ini memberikan konsep pengembangan Hutan Pinus Karangtengah sebagai alternatif wisata baru di Kabupaten Wonogiri. Konsep pengembangan tersebut berupa perancangan dan penerapan infrastruktur spot wisata seperti rancang bangun zona outbond dan camping, spot swafoto instagramable, perancangan icon khas wisata, dan konsep area bermain dan desain area kuliner. Selain itu, program ini membantu pihak pengelola destinasi hutan dalam mengembangkan strategi pemasaran melaui pelatihan pemasaran dan pemanfaatan digital marketing diantaranya dengan optimalisasi penggunaan website dan media sosial.
Implementasi Sistem Pembangkit Listrik Tenaga Surya Terpusat (Off-Grid) untuk sumber energi mandiri budidaya perikanan
Authors: Anwar Fuad , Yunianto Mohtar , Purnomo Fendi Aji
Published: November 2023

Komunitas AMPUH Desa Wonorejo bergerak dalam bidang usaha budidaya ikan, energi listrik menjadi kendala selama ini apabila supplay listrik dari PLN terputus. PLTS Off-Grid menjadi salah satu solusi untuk masalah catudaya, alat tersebut terdiri dari  panel solar, inverter, battery lipo4, watt meter dan MCB. Komponen tersebut dapat memberikan suplay selama 24 jam untuk mesin sirkulasi udara dan pemberi makan otomatis. Dengan tersedianya alat tersebut kendala yang selama ini di hadapi oleh peternak ikan menjadi teratasi.
Kata kunci: PLTS Off-Grid; energi surya; mandiri; Desa mandiri; budidaya
Literasi Satuan Pendidikan Aman Bencana (SPAB) untuk Meningkatkan Kapasitas MGMP Geografi Kabupaten Boyolali
Authors: Noviani Rita , Muryani Chatarina , Sugiyanto Sugiyanto , Ahmad Ahmad , Sarwono Sarwono , Prihadi Singgih
Published: November 2023

PERMENDIKBUD RI No 33 Tahun 2019 tentang Penyelenggaraan Program Satuan Pendidikan Aman Bencana mengemukakan bahwa Satuan Pendidikan Aman Bencana (SPAB) merupakan upaya dalam pencegahan dan penanggulangan dampak akibat bencana. Satuan Pendidikan Aman Bencana (SPAB) memiliki beberapa ruang lingkup mencakup: (a) penyelenggaraan SPAB pra-bencana; (b) penyelenggaraan pendidikan dalam situasi darurat bencana; dan (c) pemulihan layanan pendidikan Pascabencana. Terdapat tiga pilar dari SPAB yaitu: (1) Fasilitas sekolah aman bencana, (2) Manajemen bencana di sekolah, dan (3) Pendidikan pencegahan dan pengurangan risiko bencana. Guru memiliki peranan penting dalam mewujudkan SPAB di Sekolah. Kabupaten Boyolali merupakan wilayah yang rawan akan bencana. Tujuan dari pengabdian ini adalah melakukan sosialisasi SPAB kepada MGMP Geografi Kabupaten Boyolali yang diharapkan dapat menjadi pelopor SPAB. Metode yang digunakan adalah ceramah dan simulasi SPAB dengan mengumpulkan seluruh guru geografi Sekolah Menengah Atas (SMA) di SMA Negeri 2 Kabupaten Boyolali dan melakukan pretest-posttest. Hasil dari kegiatan pengabdian adalah meningkatnya pemahaman Guru MGMP Geografi Kabupaten Boyolali mengenai SPAB.
Research on the Spatial-Temporal Disparity and Convergence Characteristics of Innovation and Economic Development in China: Based on Functional Data Analysis
Authors: Zhao Dejin , Tu Xiaming , Meng Yujie , Zhao Xindong
Published: November 2023

Unbalanced and insufficient development is a prominent problem in China’s period of economic transformation, and an accurate grasp of the current situation and evolutionary trend of innovation and economic development is of great significance in finding a solution and promoting regional coordinated development. This paper introduces the framework of functional data analysis to the study of both innovation and economic development in China, examining its spatial dynamic distribution and convergence characteristic in greater depth. Empirical results revealed the following. (1) Significant regional differences exist in the absolute level of China’s innovation development, with a balanced improvement in the development speed and growth potential. Significant differences exist in the absolute level and speed of economic development, but not in the potential energy of development as reflected by acceleration. (2) The σ(t) function of nationwide and regional innovation development shows a downward trend. There is σ(t) convergence in economic development nationwide and in the northeastern, eastern, and western regions, but the regional disparities in economic development within the six central provinces have not yet been effectively mitigated. (3) Nationwide and regional innovation development are in a state of β(t) convergence. There is significant β(t) convergence in the nationwide economic development, with a transition point from divergence to convergence in the northeastern, eastern, and western regions. However, the β(t) function of economic development in the central region shows a region-wide divergence. The findings of this paper have important policy implications for recognizing the balance and disparities in innovation and economic development among regions in China and promoting coordinated regional development.
Stock Risk Warning and Financial Market Stability Based on the Perspective of Stock Price Crash Risk of Peer Enterprises
Authors: Sun Jie , Sun Mingyang , Wang Xin , Cheng Yan
Published: November 2023

This study empirically tests the effect of stock risk warning of listed companies on the risk of stock price crash of non-warning companies in the same industry and its mechanism in the Chinese A-share listed companies from 2008 to 2021 as samples. The research results show that the risk warning information has a capital market governance effect on peer companies, that is, the new risk warning information in an industry will alleviate the risk of stock price crash of peer companies. This conclusion remains robust after a series of robustness and endogeneity tests. The mediating mechanism test shows that the idiosyncratic information content of the stock price mediates the process of risk warning information affecting the risk of stock price crash of peer companies. The heterogeneity test shows that the governance effect of risk warning information on the risk of stock price crash of peer companies is more significant when the problem of company agency is more serious, the competitive market position is lower, or the differences in opinion among investors are smaller. This study provides empirical evidence for the necessity of the existence of the risk warning system. Additionally, it provides a reference for the capital market risk supervision of similar transition economies such as China.
Effect of Urban Household Registration Controls on Labor Mismatch in China
Authors: Zhang Shangfeng , Yi Ming , Li Shisi , Zhang Yu , Ye Jinyan , Chen Wei
Published: November 2023

This study examines the effect of the degree of household registration control on labor mismatch in China. Based on Chinese urban panel data, we construct a dynamic panel model to empirically examine the effect of the degree of household registration control on labor mismatch in China. The study finds that labor mismatch relatively exists in all regions of China, which differ significantly. Moreover, liberalizing the household registration system in cities with under- and over-allocated labor force can reduce and aggravate the degree of local labor mismatch, and improve and reduce resource allocation efficiency, respectively. This study uses the labor distortion coefficient to replace the original dependent variable, and the labor mismatch coefficient. The authors further conduct a robustness test using the system generalized moment estimation method. These results are consistent. The implication of this study is that, in the context of China’s shift from high-speed to high-quality development, local governments should tailor their household registration system reform programs to the local resource allocation situation to improve the degree of labor mismatch in China, to optimize resource allocation, and to promote economic transformation.
A Lightweight and Accurate Method for Detecting Traffic Flow in Real Time
Authors: Du Zewen , Jin Ying , Ma Hongbin , Liu Ping
Published: November 2023

Traffic flow detection provides significant information for intelligent transportation systems. However, as the mainstream research direction, vision-based traffic flow detection methods currently face the challenges of a trade-off between accuracy and speed. Furthermore, it is crucial that modularization be incorporated into the system design process to enhance the maintainability and flexibility of the system. To achieve this, we propose a modular design method that divides this task into three parts: vehicle detecting, vehicle tracking, and vehicle counting. As an important link of the system, vehicle detection greatly influences the accuracy and speed of the system. We therefore introduce a lightweight network called feature adaptive fusion-YOLOX, which is based on YOLOX. Specifically, in order to eliminate redundant information brought by bilinear interpolation, we propose a feature-level upsampling method called channel to spatial, which enables upsampling without additional calculations. Based on this module, we design a lightweight, multi-scale feature fusion module, feature adaptive fusion pyramid network (FAFPN). Compared with PA-FPN, FAFPN reduces FLOPs by 61% and parameters of the neck by 50% while maintaining comparable or even slightly improved performance. Through experimental tests, the traffic flow detection method proposed in this paper achieves high accuracy and adaptability in a series of traffic surveillance videos in different types of weather and perspectives and can realize traffic flow detection in real time.
Real-Time Dynamic Gesture Recognition Algorithm Based on Adaptive Information Fusion and Multi-Scale Optimization Transformer
Authors: Lu Guangda , Sun Wenhao , Qin Zhuanping , Guo Tinghang
Published: November 2023

Gesture recognition is a popular technology in the field of computer vision and an important technical mean of achieving human-computer interaction. To address problems such as the limited long-range feature extraction capability of existing dynamic gesture recognition networks based on convolutional operators, we propose a dynamic gesture recognition algorithm based on spatial pyramid pooling Transformer and optical flow information fusion. We take advantage of Transformer’s large receptive field to reduce model computation while improving the model’s ability to extract features at different scales by embedding spatial pyramid pooling. We use the optical flow algorithm with the global motion aggregation module to obtain an optical flow map of hand motion, and to extract the key frames based on the similarity minimization principle. We also design an adaptive feature fusion method to fuse the spatial and temporal features of the dual channels. Finally, we demonstrate the effectiveness of model components on model recognition enhancement through ablation experiments. We conduct training and validation on the SCUT-DHGA dynamic gesture dataset and on a dataset we collected, and we perform real-time dynamic gesture recognition tests using the trained model. The results show that our algorithm achieves high accuracy even while keeping the parameters balanced. It also achieves fast and accurate recognition of dynamic gestures in real-time tests.
An Approach for Egg Parasite Classification Based on Ensemble Deep Learning
Authors: Butploy Narut , Kanarkard Wanida , Intapan Pewpan M. , Sanpool Oranuch
Published: November 2023

Opisthorchis viverrini and minute intestinal fluke (MIF) infections are heavily epidemic in northeastern Thailand. Their primary cause is eating raw or undercooked cyprinid fishes, and they cause health problems in the human digestive system. In cases of liver fluke, these parasites can go through the bile duct system, which may cause cholangiocarcinoma (bile duct cancer). When a medical doctor suspects that a patient is infected with parasites, they typically request a stool analysis to determine the type of egg parasites using microscopy. Both parasites have similar characteristics, thus, it is necessary for a specialist to identify the specific type of egg parasites present. Many automatic systems have been developed using deep learning to assist doctors in diagnosing the type of egg parasite. In this study, we proposed three models of deep learning architectures and created voting ensembles to analyze egg parasite images. Images of similar liver fluke eggs and MIF eggs were taken from the Parasitology Laboratory, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand. Image data augmentation is used to expand images from different perspectives and assist the system in acquiring a greater variety of images. Three models performed effectively, by employing the hard voting ensemble, the accuracy increased to 86.67%, while for the second group, the accuracies reached 68.00%, 76.00%, and 77.33%, respectively. Using the soft voting ensemble, the accuracy improved to 79.33%. These outcomes highlight the potential of ensemble deep learning in image classification. Furthermore, these results align closely with those achieved by several experts in image classification. Hence, a promising ensemble approach can aid doctors in accurately classifying images of egg parasites.
Lattice Based Communication P Systems
Authors: Xu Junli , Liu Xiyu , Xue Jie
Published: November 2023

Lattice based communication P (LTC-P) systems are a class of extended P systems with lattice membrane structures. This new P-system is recently proposed in our work and LTC-P systems have been shown to be computational completeness. LTC-P systems can efficiently solve some kinds of combination-optimization problems. The purpose of this paper is to investigate the computation power of LTC-P systems through comparison with Chomsky families and Lindenmayer system. The formal framework of LTC-P systems is also provided. Then, we use LTC-P systems to solve SAT and HPP in linear time. Results have shown that LTC-P systems have comparative advantage in the use of membrane numbers.
Urinary Sodium/Potassium Ratio Index Estimates Ionic Balance in Humans
Authors: Yoshida Yutaka , Tarusawa Yuta , Nishimura Asahi , Yuda Emi
Published: November 2023

This study measured the urinary sodium/potassium (U-Na/K) ratio using a compact ion meter to verify whether the U-Na/K ratio can estimate human blood pressure (BP) and ionic balance. The U-Na/K ratio and BP were measured in five healthy participants (including one female) after urination for at least two days per person, and lifestyle information, such as exercise and diet, were recorded at the time of measurement. Analysis of the measured data at 57 points revealed no significant difference in the U-Na/K ratio and BP, but a significant decrease in the U-Na/K ratio was observed after exercise accompanied by sweating (P = 0.01). Although previous studies have demonstrated that sodium is released by sweating, its measurement is difficult. Measuring sodium/potassium ratio is useful for preventing heatstroke and may serve as an explanatory variable for sweating and exercise intensity.
Reclining Public Chair Behavior Detection Based on Improved YOLOv5
Authors: Zhou Liu-Ying , Wei Dong , Ran Yi-Bing , Liu Chen-Xi , Fu Si-Yue , Ren Zhi-Yi
Published: November 2023

This study proposes an object detection algorithm based on the improved YOLOv5 network for the uncivilized behavior of reclining public chair, which often occurs in cities. The current object detection field is studied by a single object. For the behavior of a lying public chair, the object to be measured is composed of two parts: the chair and the human posture jointly. Furthermore, the features of the object will show a large variability under different shooting angles, so the model’s ability to extract features of the object is extremely important. This paper incorporates the Ghost module based on the YOLOv5 network to enable the model to learn more object features. The Ghost makes the neural network lighter by using linear convolution instead of nonlinear convolution, and its generated redundant features can help the model learn more object features and improve the model performance. In addition, this paper uses a new loss function EIoU to replace the original loss function CIoU. By comparison, EIoU solves the problem that CIoU fails in penalty terms under specific conditions. EIoU enables the model to converge faster and better. After experimental validation on the test set, it is shown that the improved YOLO network improves F1 by 3.5% and mAP by 4.2% compared to the original algorithm.
Optimization of Briquette Classification Using Deep Learning
Authors: Saptadi Norbertus Tri Suswanto , Suyuti Ansar , Ilham Amil Ahmad , Nurtanio Ingrid
Published: November 2023

Indonesia needs energy to meet its needs. Energy sourced from waste is called biomass briquettes. The manufacture of briquettes is still done in a traditional way, so there are product quality problems. A computational approach has been taken to base the quality of the product on certain characteristics so that the types of briquettes that are made can be classified or sorted. The research objective of this work is to determine the quality of briquettes. The approach uses deep learning methods and convolutional neural network (CNN) architecture. Classification is based on good and bad briquette products, and testing is based on the level of performance accuracy. The dataset formed consists of 5,280 images. As training data, 85% of data is used and 15% is used as test data using 300 epoch parameters, 32 batch sizes, and learning speed up to 0.001. The results of testing and evaluating the performance of briquette products with the general CNN architecture have a level of accuracy that is not optimal. The optimization results of testing the MobileNetV2 architecture with a ratio of 70:30 obtains predictions with 0.99 as the highest accuracy value and 0.73 as the lowest. The average predicted value of the model is 0.95. The computational approach is able to provide traditional communities with solutions for the process of making briquettes.
Pemanfaatan Fungi Agen Hayati Sebagai Mitigasi Cekaman Lingkungan Dalam Budidaya Padi dan Kedele
Authors: Sutarman Sutarman
Published: November 2023

Puji syukur kehadirat Allah SWT atas tersusunnya Buku dengan judul: “Pemanfaatan Fungi Agen Hayati Sebagai Mitigasi Cekaman Lingkungan dalam Budidaya Padi dan Kedele” yang merupakan salah satu luaran penelitian hibah Kemendikbudristek dalam skema Penelitian Dasar Unggulan Perguruan Tinggi (PDUPT) 2023.Buku ini disusun berdasarkan kajian referensi yang bersumber pada hasil riset yang terpublikasi dalam berbagai artikel jurnal Internasional relevan terkait. Materi dalam buku ini dapat digunakan sebagai bahan ajar dan kajian dalam mata kuliah Manajemen Budidaya Tanaman Pangan, Pengelolaan Hama dan Penyakit Tanaman, dan mata kuliah lain yang relevan baik pada Prodi Agroteknologi maupun prodi lain dengan kemnatan yang relevan. Rerfeensi dalam buku ini dapat ditelusuri dan dimanfaatkan bagi kebutuhan riset dosen, tugas akhir mahasiswa, dan bahan ajar mata kuliah lain.Sustansi kajian dalam buku ini diharapkan dapat menjadi pertimbangan pemerhati, pembelajar, periset, dan pemangku kepentingan lainnya dalam partisipasi menjawab tantangan anomali iklim sebagai dampak pemanasan globalsekaligus upaya mewujudkan ketahanan pangan melalui swasembada beras dan peningkatan produksi kedele Nasional.
İş Yerinde Etik Körlük Kavramına İlişkin Ölçek Uyarlama Çalışması: Geçerlı̇k ve Güvenı̇rlı̇k Analizi
Authors: BAYRAMOĞLU Gökben , PALABIYIK Nida , UYSAL Emre
Published: November 2023

Etik körlük, karar verme sorumluluğunu üstlenen kişilerin farkında olmadan etik dışı davranışlarda bulunmaları anlamına gelmektedir. Ulusal alan yazında geçerli ve güvenilir ölçüm aracı ihtiyacından dolayı etik alanındaki çalışmaların yetersiz kaldığı düşünülmüştür. Bu çalışmada Aleksić (2017) tarafından geliştirilen İş Yerinde Etik Körlük (Ethical Blindness at Work) ölçeğinin Türkçe alan yazınına kazandırılması amaçlanmaktadır. İlgili ölçek, uyarlama çalışmalarında tavsiye edilen kapsam, yapı ve ölçüt geçerliliği açısından analiz edilmiştir. Öncelikle ölçek maddeleri Türkçeye uygun duruma getirilmiştir. Ardından pilot çalışma yardımıyla iç tutarlılık oranı (α<;0,70) ve madde toplam korelasyon değerleri (r>0,30) incelenerek ölçeğe son şekli verilmiştir. Ölçeğin son şekliyle hazırlanan anket formu, farklı sektörlerde çalışanlara uygulanmıştır. 550 katılımcıdan elde edilen veriler analiz edilmiştir. Ulaşılan sonuçlar, ölçeğin orijinal yapısına uygun şekilde “rasyonelleştirme”, “rutin” ve “bilgisizlik” olmak üzere üç faktörlü bir yapıya sahip olduğunu göstermektedir. Ayrıca ölçüt geçerliliği kapsamında, işle bütünleşme ölçeği ve duygusal bağlılık ölçeği kullanılarak İş Yerinde Etik Körlük ölçeğinin diğer yapılarla ilişkisi incelenmiştir. Ulaşılan tüm sonuçlar dikkate alındığında, İş Yerinde Etik Körlük Ölçeğinin Türkçe alan yazınında kullanılabilecek geçerli ve güvenilir bir ölçüm aracı olduğu söylenebilir.
Seismic Facies Analysis, 3D Horizon Mapping, Source and Reservoir Rock Characteristics of the Paleocene Sequence in Potwar Basin, Pakistan: with Emphasis on Petroleum Potential Prospect
Authors: Ali Shah Syed Bilawal
Published: November 2023

—This study presents a comprehensive analysis of the Balkassar oilfield in the Potwar Basin, Pakistan. It integrates seismic reflection data, a 3D subsurface horizon model, and geochemical and petrophysical data. Evaluating the Lockhart Formation’s geochemical properties using well cuttings reveals consistent patterns of relatively low to fair total organic carbon (TOC). S2 values suggest a fair generation potential with a mixed Type II–III kerogen composition. Seismic facies analysis identifies five distinct categories with parallel attributes. Horizons from lower Permian to Eocene show varying amplitudes and prevalent parallel to wavy internal configurations. Geometries, mainly sheet-to-wedge, enhance stratigraphic understanding. The 3D seismic interpretation reveals the Lockhart Formation’s structural traits, with pronounced northwest dip and gentler southeast inclination. Faults flanking the formation truncate its limbs. A significant contour closure in the northwest, confined by fault boundaries, signifies attractive hydrocarbon potential. Petrophysical analysis indicates an average 9.17% porosity. Dominated by limestone, the formation shows average water saturation of around 25.29% and hydrocarbon saturation of roughly 74.71%, indicating favorable reservoir properties. The Lockhart Formation holds promise as a reservoir rock within the Potwar Basin, though its source rock suitability is limited. This study enhances understanding of Balkassar’s geological complexities and contributes to knowledge of hydrocarbon exploration in the Potwar Basin.
Bioreactor Development for Skeletal Muscle Hypertrophy and Atrophy by Manipulating Uniaxial Cyclic Strain: Proof of Concept
Authors: Kamal Khaled , Othman Mariam , Kim Joo-Hyun , Lawler John
Published: November 2023

Skeletal muscles overcome terrestrial, gravitational loading by producing tensile forces that produce movement through joint rotation. Conversely, the microgravity of spaceflight reduces tensile loads in working skeletal muscles, causing an adaptive muscle atrophy. Unfortunately, the design of stable, physiological bioreactors to model skeletal muscle tensile loading during spaceflight experiments remains challenging. Here, we tested a novel bioreactor that uses initiation and cessation of cyclic, tensile strain to induce hypertrophy and atrophy, respectively, in murine lineage (C2C12) skeletal muscle myotubes. Uniaxial cyclic stretch of myotubes was conducted using a StrexCell® (STB-1400) stepper motor system (0.75 Hz, 12% strain, 60 min/day). Myotube groups were assigned as follows: (a) quiescent over 2- or (b) 5-day (no stretch), (c) experienced 2-days (2dHY) or (d) 5-days (5dHY) of cyclic stretch, or (e) 2-days of cyclic stretch followed by a 3-day cessation of stretch (3dAT). Using ß-sarcoglycan as a sarcolemmal marker, mean myotube diameter increased significantly following 2dAT (51%) and 5dAT (94%) vs. matched controls. The hypertrophic, anabolic markers talin and Akt phosphorylation (Thr308) were elevated with 2dHY but not in 3dAT myotubes. Inflammatory, catabolic markers IL-1ß, IL6, and NF-kappaB p65 subunit were significantly higher in the 3dAT group vs. all other groups. The ratio of phosphorylated FoxO3a/total FoxO3a was significantly lower in 3dAT than in the 2dHY group, consistent with elevated catabolic signaling during unloading. In summary, we demonstrated proof-of-concept for a spaceflight research bioreactor, using uniaxial cyclic stretch to produce myotube hypertrophy with increased tensile loading, and myotube atrophy with subsequent cessation of stretch.
Occurrence of stink bugs Pentatomidae family population on maize crop
Authors: Bungala Leonel Tarcisio da Cristina , Pedro Cesar , Dique Jose Eulario Lampi , Moiana Nelson , Amoda Deniasse Bernardo , Temo Manuel Armindo
Published: November 2023

While we pay more attention to pests that cause impactful and easy-to-view symptoms, stink bugs have seriously harmed crops, even if the attacks are not as visible. We aimed to determine if Pentatomidae stink bugs were present in maize crops under field conditions in the present study. The experiment was performed in a completely randomized block design (RCBD) with a total of 36 treatments, four varieties (T1: ‘SP1’, T2: ‘Namuli’, T3: ‘ZM523’, and T4: ‘ZM09’), nine phenological stages, three replications and in a split-plot arrangement. Visual observations and respective insect infestation counts were performed in the central row of each treatment. Four species of phytophagous stink bugs (Pentatomidae) able to cause economic losses in maize were selected. All four species of phytophagous stink bugs, Dichelops spp., Euschistus heros, Nezara viridula and Halyomorpha halys, were found in maize crops on-station in Sussundenga, but adult populations of the species Euschistus heros and Halyomorpha halys had a significant occurrence in the phenological stages of maize. The treatments with maize hybrids were the ones that registered the most presence of stink bugs compared to the Open-pollinated varieties (OPVs). Higher stink bug frequencies were recorded for Euschistus heros.
The Effect of Hydrogen Content on Electrophysical Properties of Hydrogenated Titanium – Thermally Expanded Graphite Composites
Authors: Galstian Iryna , Mykhailova H. Yu. , Len E. G. , Yakymchuk M. M. , Dekhtyarenko V. A. , Werner J. , Shatnii T. D.
Published: November 2023

The nanocomposites based on metals with carbon nanostructures can be used as cathode materials for low temperature thermionic converters. Such materials often have different electrophysical properties from their original components. The peculiarities of the changes in electrical conductivity of powder composites containing thermally expanded graphite (TEG) and hydrogenated titanium before and after hydrogen desorption are investigated, and the influence of hydrogen on their properties is determined. The effect of conductivity growth is found at low TEG concentration in composites with both hydrogenated and dehydrogenated titanium. It can be explained by charge transfer from the metal to the TEG components of the composites. The effect of significant increase of composite conductivity after dehydrogenation can be explained by reduction of titanium oxide shell during hydrogen desorption from metal particle and by peculiarities of Fermi level shift in it during changes of electron concentration due to charge transfer to TEG.
MHC class I and class II genotypes are independent predictors of anti-PD1 immunotherapy response in melanoma
Authors: Eynden Jimmy Van den , Claeys Arne
Published: November 2023

Immune checkpoint blockade is a highly successful anti-cancer immunotherapy. Both CTLA4 and PD1 checkpoint blockers are clinically available for melanoma treatment, with anti-PD1 therapy reaching response rates of 35-40%. These responses, which are mediated via neoantigen presentation by the polymorphic MHC complex, are hard to predict and the tumor mutation burden is currently the best available biomarker. Here we demonstrate that the germline MHC class I (MHC-I) and class II (MHC-II) genotypes are TMB-independent predictors of anti-PD1 immunotherapy responses in melanoma. Opposite responses were found for both classes, with strong MHC-I and MHC-II binding genotypes predicting good and bad responses, respectively. Interestingly, MHC-II binding genotypes were mainly associated with treatment response failure in a subgroup of anti-CTLA4 pretreated patients. As MHC genotyping does not require tumor material and/or advanced sequencing, it has clinical potential as a non-invasive and tumor-independent biomarker to guide anti-cancer immunotherapy in melanoma.