bluuebunny/crossref_metadata_2025 huggingface dataset:
Spatiotemporal Characteristics Prediction and Driving Factors Analysis of NPP in Shanxi Province Covering the Period 2001–2020
Authors: Ba Wanru , Qiu Haitao , Cao Yonggang , Gong Adu
Published: August 2023

The advent of a range of high-precision NPP products, including MODIS NPP, MOD17 NPP, and GIMMS NPP, has sparked growing interest in the study of Earth’s ecosystems. In order to enhance comprehension of ecosystem health, in order to facilitate the development of rational resource management and environmental conservation policies, this investigation employs the MOD17A3 dataset to analyze historical variations in Net Primary Productivity (NPP) within Shanxi Province from 2001 to 2020, while also exploring future trends. The Theil–Sen median trend analysis and Mann–Kendall test are commonly used methods for analyzing time series data, employed to study the spatiotemporal trends and variations in NPP. The Grey Wolf Optimization–Support Vector Machine (GWO–SVM) model combines optimization algorithms and machine learning methods, enhancing the predictive capacity of the model for future NPP time series changes. Conversely, the Hurst exponent utilizes historical NPP trends to assess the persistence characteristics of NPP and predict future spatial variations in NPP. This study additionally investigates the natural driving factors of NPP using the Geographic Detector approach. The key findings of this study are as follows. (1) Overall, NPP in Shanxi Province exhibits a fluctuating upward trend from 2001 to 2020, with an average value of 206.278 gCm−2a−1. Spatially, NPP exhibits a northwest–low and southeast–high pattern, with significant spatial heterogeneity and considerable variability. (2) The average Hurst exponent is 0.86, indicating a characteristic of strong persistence in growth in future NPP. Regions with strong or higher persistent growth account for 95.54% of the total area. (3) According to the CMIP6 climate scenarios, NPP is projected to gradually increase from 2025 to 2030. (4) The interactive effects between natural factors contribute more to NPP variations than individual factors, with the rainfall–elevation interaction having the highest contribution percentage.
Application of Comprehensive Evaluation of Line Loss Lean Management Based on Big-Data-Driven Paradigm
Authors: Li Bin , Tan Yuxiang , Guo Qingqing , Wang Weihuan
Published: August 2023

Effective line loss management necessitates a model-driven evaluation method to assess its efficiency level thoroughly. This paper introduces a “model-driven + data-driven” approach based on collective intelligence theory to address the limitations of individual evaluation methods in conventional line loss assessments. Initially, eight different evaluation methods are used to form collective intelligence to evaluate the line loss management of power grid enterprises and generate a comprehensive dataset. Then, the data set is trained and evaluated using the random forest algorithm, with Spearman rank correlation coefficient as the test metric, to assess the power grid enterprise’s line loss management level. Combining model-driven and data-driven methods, this integrated approach efficiently leverages the informational value of indicator data while thoroughly considering the causal and associative attributes within the dataset. Based on data from 61 municipal grid enterprises, both the comparison of multiple AI methods and correlation tests of results verify the superiority of the proposed method.
Improving Profitability Measurement: Impact of Intellectual Capital Efficiency on Return on Total Employed Resources in Smart and Knowledge-Intensive Companies
Authors: Krstić Bojan , Bonić Ljiljana , Rađenović Tamara , Jovanović Vujatović Milica , Ognjanović Jasmina
Published: August 2023

This paper aims to emphasize the quantification of intellectual capital, not disclosed on the assets side of the balance sheet in the smart and knowledge-based enterprise, because it is very important for the more precise quantification of the profitability ratio, such as the return on assets (ROA). For this purpose, the paper suggests the EIC (efficiency of intellectual capital) methodology. It points out the necessity for the new profitability formula, gives methodological solutions for it, and investigates the impacts of intellectual capital (IC) efficiency indicators on traditional and new formulas of profitability in the case of knowledge-intensive and smart companies. The research confirms the importance of improving the profitability measurement in the knowledge economy era, where exists the dominance of intangible assets. It emphasizes the need for the correction of the denominator of the traditional ROA indicator. The comprehensive measurement of the total intellectual capital, especially its non-disclosed component in the balance sheet, provides information for more precise and accurate profitability measurements. The paper points out the issue of improving the traditional financial ratio, such as the ROA. This can be achieved by incorporating the value of intellectual resources, which are undisclosed in the balance sheet, in its denominator. This solution results in creating a new profitability indicator—return on total employed resources (EOR). This EOR indicator is more successful in capturing the enterprise’s intellectual performance compared with traditional profitability ROA indicators. This fact leads to the conclusion that EOR is better profitability indicator especially for smart and knowledge-intensive companies.
Role of Digital Inclusive Finance for High-Quality Business Development: A Study of China’s “Five Development Concept” Policy
Authors: Su Ruixin , Zheng Tong , Zhong Yuzhao , Zhong Weizhou
Published: August 2023

The “Five Development Concept” policy is the foundation of high-quality development in China, and enterprises should base their high-quality development on this new paradigm. Can digital inclusive finance play a vital role in the high-quality growth of those businesses? This paper examines the relationship between digital inclusive finance and high-quality corporate development and its mechanism of action. This study demonstrates that digital financial inclusion can facilitate high-quality business development. Heterogeneity analysis shows that the contribution of digital inclusion to high-quality businesses development is more evident among non-state, large growth capacity and small-scale enterprises. An investigation of the mechanism reveals three pathways through which high-quality enterprise development is facilitated via digital inclusive finance, namely improving innovation, easing financing constraints, and improving risk taking, and a triple internal drive mechanism of innovation, capital, and risk is extant. This paper enhances the research related to the micro-level of digital inclusive finance on the high-quality development of enterprises, which is conducive to the construction of a long-term mechanism of digital inclusive finance under the new development pattern, so as to effectively facilitate the high-quality development of enterprises in developing countries.
Chiral Organophosphorus Pharmaceuticals: Properties and Application
Authors: Kolodiazhna Anastasy O. , Kolodiazhnyi Oleg I.
Published: August 2023

This review considers the chiral phosphorus-containing drugs used to treat patients in the clinic, as well as the promising and experimental drugs that are in the process of being researched. Natural and synthetic representatives of phosphorus-containing drugs, such as tenofovir (hepatitis B and HIV treatment), fosfomycin (antibiotic), valinofos (antibiotic), phosphazinomycin A (antibiotic), (R)-phospholeucine, various antibacterial and antifungal agents, renin inhibitors, etc., have found practical applications as medicines and bioregulators and other medicines. The influence of the chirality of both carbon atoms and phosphorus atoms on the pharmacodynamics, pharmacokinetics, and toxicological properties of phosphorus drugs has been demonstrated. Therefore, the choice of enantiomers is critical since the wrong choice of a chiral drug can lead to undesirable consequences, carcinogenicity, and teratogenicity. New chiral technologies affecting drug development are discussed, such as the “chiral switch” of racemates already on the market, as well as phosphorus-containing prodrugs with a higher biological selectivity and low adverse effects.
A New Class of Trigonometric B-Spline Curves
Authors: Albrecht Gudrun , Mainar Esmeralda , Peña Juan Manuel , Rubio Beatriz
Published: August 2023

We construct one-frequency trigonometric spline curves with a de Boor-like algorithm for evaluation and analyze their shape-preserving properties. The convergence to quadratic B-spline curves is also analyzed. A fundamental tool is the concept of the normalized B-basis, which has optimal shape-preserving properties and good symmetric properties.
Effects of Coupling Constants on Chaos of Charged Particles in the Einstein–Æther Theory
Authors: Liu Caiyu , Wu Xin
Published: August 2023

There are two free coupling parameters c13 and c14 in the Einstein–Æther metric describing a non-rotating black hole. This metric is the Reissner–Nordström black hole solution when 0≤2c13<c14<2, but it is not for 0≤c14<2c13<2. When the black hole is immersed in an external asymptotically uniform magnetic field, the Hamiltonian system describing the motion of charged particles around the black hole is not integrable; however, the Hamiltonian allows for the construction of explicit symplectic integrators. The proposed fourth-order explicit symplectic scheme is used to investigate the dynamics of charged particles because it exhibits excellent long-term performance in conserving the Hamiltonian. No universal rule can be given to the dependence of regular and chaotic dynamics on varying one or two parameters c13 and c14 in the two cases of 0≤2c13<c14<2 and 0≤c14<2c13<2. The distributions of order and chaos in the binary parameter space (c13,c14) rely on different combinations of the other parameters and the initial conditions.
Eosinophilic Granulomatosis with Polyangiitis after mRNA-1273 SARS-CoV-2 Vaccine
Authors: Mencarelli Lucrezia , Moi Laura , Dewarrat Natacha , Monti Matteo , Alberio Lorenzo , Ringwald Maxime , Swierdzewska Karolina , Panagiotis Antiochos , Ribi Camillo
Published: August 2023

During one of the worst global health crises, millions of people were vaccinated against SARS-CoV-2. In rare cases, new onset systemic inflammatory diseases were reported with temporal coincidence to the vaccination. We describe a case of severe Eosinophilic Granulomatosis with Polyangiitis (EGPA) in a young asthmatic woman, occurring after a second dose of the mRNA-1273 vaccine. She presented with multisystem EGPA with cardiac and central nervous system involvement, complicated by secondary immune thrombocytopenia (ITP). We review the reported cases of EGPA coinciding with SARS-CoV-2 mRNA vaccination. All potentially vaccine-related EGPA cases reported so far occurred within 14 days from immunization. EGPA is very rare with an incidence of 1:1,000,000 inhabitants, and the number of reported post-vaccination EGPA cases lies within the expected incidence rate for the period. While we cannot prove a causal relationship between the vaccine and EGPA onset, the temporal relationship with the vaccine immune stimulation is intriguing, in a disease occurring almost always in adults with asthma and/or chronic rhinosinusitis and driven by an aberrant Th2 lymphocyte activation with hypereosinophilia; nevertheless, cases of inflammatory diseases (IMIDs) emerging in the context of vaccination remain rare and the benefits of preventing severe COVID presentations with SARS-CoV-2 mRNA vaccines remain unquestionable.
Study of the Catastrophic Process of Water–Sand Inrush in a Deep Buried Stope with Thin Bedrock
Authors: Li Tao , Tang Yuesong , Li Lianghui , Hu Haoyu , Li Zheng , He Jiqing , An Bochao
Published: August 2023

Taking the 14,030 panel of Zhaogu No. 2 coal mine as its research object, this paper studies the evolution characteristics of the developing height, propagation track and caving arch shape of water-flowing fractures under the influence of thick alluvium by utilizing a physical experiment, theoretical analysis and field investigation. The results show that the height and limit span of the water-flowing fracture zone experience four stages, which include the initial stage, slow-increasing stage, sudden-increasing stage and stable-increasing stage. With the increase in the mining influence range, the shape of the water-flowing fracture in overburden under the influence of thick alluvium is gradually formed. The water in the thick alluvium and the water in the upper phreatic aquifer of the bedrock penetrate each other to form a concentrated danger zone, and the expansion track of the mining water-flowing fracture connects the hydraulic connection between the upper concentrated danger zone of overburden and the panel of No. 2’s first coal seam. A large amount of water mixed with sandstone flows into the fracture surface of the bedrock’s broken rock block through the water-flowing fracture, leading to the instability of the load-bearing structure composed of the thick alluvium caving arch and the towering roof beam, which illustrates the whole process of water–sand inrush accidents in thin bedrock stope with deep thick alluvium.
The Effects of Global Climate Change on Water Level and Salinity: Causes and Effects
Authors: Jeppesen Erik , Beklioğlu Meryem , Zadereev Egor
Published: August 2023

Temperature and precipitation patterns are changing considerably worldwide because of global climate change [...]
Triglyceride-Glucose Index is a novel predictor of colorectal cancer
Authors: Aksoy Erkan , Ergenç Zeynep , Ergenç Hasan , Gökosmanoğlu Feyzi
Published: August 2023

Aim: Colorectal cancer is the leading cause of cancer-related mortality. Metabolic syndrome is associated with obesity, pre-diabetes, and dyslipidemia. The purpose of the study was to investigate the effects of TyG Index as a novel biomarker on CRC risk.

Material and Method: The study was conducted with 256 people in total, including the CRC (n=124) and Control Groups (n=132). TyG Index was calculated by using fasting triglycerides and glucose with the formula Ln [fasting TGs (mg/dL) x fasting glucose (mg/dL)/2]. The performance of the TyG Index to predict the presence of CRC was also evaluated.

Results: Metabolic parameters associated with insulin resistance were found to be at statistically significant levels in the CRC Group. Fasting plasma glucose, triglyceride, insulin, hemoglobin A1c, and GGT were also statistically significant. It was also determined that the cut-off value of the TyG Index for the presence of CRC was 4.49 (AUC = 0.782, sensitivity 77%, specificity = 78.4%, and p=0.002).

Conclusion: In the present study, it was found that the TyG Index is associated with the risk of CRC and can be used as a novel biomarker in high-risk CRC cases.
Thyroid cancer incidence and clinicopathological distribution in bariatric surgery cases
Authors: AKSOY Erkan , ERGENÇ Zeynep , ERGENÇ Hasan , KARACA OCAK Özlem
Published: August 2023

Aim: Obesity is strongly associated with increased risk of many cancer types. It is estimated that approximately 20% of all cancers are caused by overweight. It is considered that there is a direct relation between overweight and thyroid cancer. The aim of this study is to evaluate the incidence and clinicopathological distribution of thyroid cancer in bariatric surgery cases. Materials and Methods: The present study was conducted with a total of 2316 patients who underwent bariatric surgery because of morbid obesity in our metabolic and bariatric surgery clinic between April 2014 and November 2021. Results: It was found that the prevalence of thyroid cancer was 1.2% in morbidly obese cases. A total of 23 patients had papillary thyroid cancer (0.99%), 3 patients had follicular cancer (0.12%), 1 patient had medullary cancer (0.04%), and 1 patient had anaplastic cancer (0.04%). Conclusion: It was found in the present study that the most common cancer type was thyroid papillary cancer, and follicular, medullary, and anaplastic cancer were found to be less frequently. There appears to be a relation between Body Mass Index and the thyroid cancer risk.
Investigation of Academic Success, Psychological Flexibility and Self-efficacy in Teacher Candidates
Authors: Ateş Bünyamin , Sağar Mehmet Enes
Published: August 2023

In this study, it was aimed to examine the predictive role of
psychological flexibility and self-efficacy variables on academic success
in teacher candidates studying at education faculties of different
universities in Türkiye. The research was based on the correlational
study. The research group consisted of 398 teacher candidates (167
male, 42%; 231 female, 58%) studying at the education faculties of
different universities in Türkiye in the 2022-2023 academic year.
Psychological Flexibility Scale, General Self-Efficacy Scale, and
Personal Information Form were used as data collection tools in the
research. In this research, data were collected via Google Form online
method. As a result of the examination of the data obtained in the
research, it was determined that the data were suitable for multiple
linear regression analysis (stepwise). As a result of the research, the
psychological flexibility variable significantly predicted academic
achievement in the first place. In the second place, it was determined
that the self-efficacy variable predicted significantly.
Investigation of the usability of the electrocoagulation method in malachite green removal from water solution
Authors: Arslan Hüdaverdi , Salici Kemal , Gün Melis , Yalvaç Mutlu
Published: August 2023

In this study, the removal of Malachite Green dye in synthetically prepared aqueous solution by electrocoagulation process was investigated. In the study, initial dye concentration, electrolyte amount, mixing speed, current density, electrolysis time, pH value, and distance between electrodes parameters that affect the removal efficiency of the electrocoagulation method were investigated. As a result of the study, optimum parameters were found as an initial dye concentration of 200 mg/L, electrolyte amount of 150 mg/L, stirring speed of 100 rpm, current density of 8 mA/cm2, pH 4.5 value, the distance between electrodes 1 cm, and electrolysis time 20 min. 93.6% color removal efficiency and 37.5% COD removal were obtained under optimum conditions.
Comparison of waste lithium-ion batteries recycling methods by different decision making techniques
Authors: Öztürk Mahmut , Evin Esra , Özkan Aysun , Banar Mufide
Published: August 2023

Today, to reduce fossil fuel consumption and to prevent gas emissions that are increasing day by day, vehicles working with electrical energy have started to be produced and developed. The environmental impact of the batteries of electric vehicles, which are increasing in number, is an undeniable fact and is predicted to be a major problem. In this study, three different alternative recycling processes were selected for waste lithium-ion batteries (LIBs), namely pyrometallurgical process, hydrometallurgical process and direct recycling.These processes were compared in terms of their technical, economic, environmental and social aspects using a Multi-Criteria Decision Making (MCDM) approach.. From this point of view, in this study, entropy method which is an objective method was used to weight the criteria and Analytic Network Process (ANP) and TOPSIS methods were used to prioritise the alternatives in order to determine the best process for the recycling of waste LIBs. The alternatives were determined as being pyrometallurgical process, hydrometallurgical process and direct recycling, and these alternatives were evaluated in terms of environmental, economic, technical, and social dimensions. Afterwards, sensitivity analysis was performed. The ranking results showed that direct recycling is the best alternative (with values of 0.68 and 0.8101 for ANP and TOPSIS, respectively). In addition, sensitivity analysis was applied for the robustness of the results. As a result of the sensitivity analysis, direct recycling was found to be the best alternative.
THE ECONOMIC IMPACT OF NATIVE CHICKEN FARMING (NON-BREED) ON FAMILY INCOME (Study in Sojomerto Village, Reban District, Batang Regency)
Authors: Prabowo Rokh Eddy , Sutejo Bambang , Murdiyanto Agus
Published: August 2023

In rural areas, there are fewer and fewer native chicken (non-breed or free-range) businesses run by household units. In other words, even though other households no longer raise free-range chickens, there are still households that do. When they have free-range chickens, they have the potential to earn more money than many other households. Furthermore, according to febroni (kompas.com), the native chicken livestock business has become one of the most promising in recent years. Year after year, the demand for chicken meat grows because there are more and more restaurants and street stalls selling native chicken menus. This statement is backed up by https://bukukas.co.id, which claims that "native chickens have their own market segment that is growing.". This phenomenon is worth researching in order to gain scientific knowledge about various aspects, especially the economic aspects of their income and social analysis in social life.

According to the findings of this study, internal strategic factors affecting the livestock business of native chickens (non-breed) include population, health, feed availability, and capital. Furthermore, it has a positive impact on family income that the business of raising native (non-breed) chickens has, namely as a source of income for the surrounding population and as a producer of animal protein for the community, as well as additional income for the family
Modeling the clinical profile of patients with hypertension and atrial fibrillation by serum NTpro-BNP levels
Authors: Ivanov V.P. , Zakrevska M.M.
Published: August 2023

Background. Hypertension and atrial fibrillation are a fairly common combination of heart pathology that occurs in the daily practice of a cardiologist. Associations of clinical laboratory and instrumental indicators with the levels of various biomarkers, in particular serum N-terminal fragment of brain natriuretic propeptide (NT-proBNP), are interesting and promising for scientific research and practical application.

The aim of the study was to simulate the clinical profiles of patients with hypertension and atrial fibrillation depending on the serum levels of NTpro-BNP.

Materials & Methods. 89 patients with stage II hypertension and various clinical forms of atrial fibrillation were included in the study. All patients underwent a general clinical examination, additional determination of NT-proBNP serum levels, and assessment of quality of life according to the Minnesota Living with Heart Failure Questionnaire (MLHFQ) for 2–3 days of hospital stay at against the background of selection of optimal therapy. Sequential statistical processing of the obtained data using Spearman’s rank correlation analysis and multiple linear regression made it possible to create two clinical profiles of patients.

Results & conclusions. Thus, with a relatively high serum level of NTpro-BNP (≥810 ng/l), the following will be characteristic: hypertensive history >12 years; the presence of signs of left ventricular hypertrophy on the ECG according to the Sokolov-Lyon criteria; increase in the right atrium >36 mm and systolic pressure in the pulmonary artery >38 mm Hg according to Echocardiography; an increase in the average daily heart rate >110 per 1 min with Holter ECG monitoring; a decrease in the glomerular filtration rate <56 ml/min/1.73m2 and an increase in the total MLHFQ score >27. The dominant markers of a relatively high level of NTpro-BNP were a decrease in quality of life, instrumental signs of hemodynamic overload of the right heart and clinically significant cardiorenal disorders. With a relatively low serum level of NTpro-BNP (≤220 ng/l), the following will be characteristic: hypertensive history anamnesis <8 years; lack of signs of the left ventricle hypertrophy on the ECG according to the Sokolov-Lyon criteria; the size of the right atrium <34 mm and/or the value of systolic pressure in the pulmonary artery <33 mm Hg according to Echocardiography; average daily heart rate with Holter ECG monitoring <92 per 1 minute; glomerular filtration rate >68 ml/min/1.73m2 and the total MLHFQ score <21. The dominant markers of a relatively low level of NTpro-BNP were the absence of signs of left ventricular hypertrophy on the ECG and a balanced state of sympatho-adrenal activity by the nature of circadian regulation of heart rate.

Keywords: atrial fibrillation; N-terminal fragment of brain natriuretic propeptide; clinical profile of patients.
Isparta’da Deprem Afet Bilinci Toplumsal Düzeyinin Belirlenmesi
Authors: AKMAN Dilek , ŞAHİN Şakir
Published: August 2023

Türkiye dünyanın en aktif tektonik kuşaklarından birinde yer almaktadır. Bu tektonik kuşaklardan biri olan Alp-Himalaya orojenik kuşağının bir kısmını oluşturan Isparta Büklümü boyunca çok sayıda hasar yapıcı deprem meydana gelmektedir. Tarihsel ve aletsel dönem depremler incelendiğinde bu kuşakta yer alan Isparta yerleşim alanı depremlerden olumsuz etkilenmiştir. Deprem zararlarının azaltılması için Isparta’da yaşayanların deprem konusunda bilgi düzeylerinin yüksek olması gerekir. Çalışmada, Isparta ili Merkez Zafer mahallesinde yaşayanların meslek yaş cinsiyet eğitim durumu fark etmeksizin deprem afet bilincinin toplumsal düzeyi belirlenmeye çalışılmıştır. Bu kapsamda kişilere yönetilmek üzere 23 sorudan oluşan bir anket formu düzenlenmiş ve anket 355 kişi ile gerçekleştirilmiştir. Ankete katılanların % 90’nının deprem yaşadığı, ancak deprem konusunda yeterli bilgiye sahip olmadığı gözlemlenmiştir. Depreme ilişkin bilgileri daha çok kitle iletişim araçları sayesinde edindikleri tespit edilmiştir. Aynı zamanda deprem öncesi risk yönetiminden daha çok, deprem sonrası kriz yönetimi konusunda bilgi sahibi olunduğu gözlemlenmiştir. Afet bilincinin oluşması için özellikle kurumsal iletişime ihtiyaç olduğu görülmüştür. Aynı zamanda insanımızın uygulama ve tatbikatlar ile sürece dahil edilmesi gerektiği ortaya konulmuştur. Diğer taraftan anketin gerçekleştiği mahallenin sosyo-ekonomik yapısının deprem afet bilincinin oluşmasında etkili olduğu tespit edilmiştir.
Assessing the Competitiveness and Complementarity of the Agricultural Products Trade between Korea and CPTPP Countries
Authors:   Korea Trade Research Association, Chen Meng-wen , Park Suk-jae , Zhu Quan-zheng
Published: August 2023

Purpose – This paper aims to investigate the competitiveness and complementarity of the agricultural products trade between Korea and Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) countries. The study evaluates the opportunities and challenges that Korea's agricultural sector faces after joining the CPTPP, and suggests strategies to deepen cooperation and expand Korea's agricultural products trade. Design/methodology – To achieve these objectives, we analyze the trade competition and cooperation relationship between Korea and CPTPP countries in the agricultural products trade. This study uses data from Chapters HS1-24 in UN Comtrade from 2012 to 2022, and applies the indices of revealed comparative advantage, export similarity, and trade complementarity to examine the trade dynamics. Furthermore, we use an Autoregressive Integrated Moving Average (ARIMA) model to predict the agricultural products trade complementarity index between Korea and CPTPP countries from 2022 to 2031. Findings – The findings of our analysis reveal that Korea's agricultural products trade competitiveness is weak compared to that of CPTPP countries, and Korea's agricultural products are at a competitive disadvantage. On the whole, the similarity index of agricultural products trade exports between Korea and CPTPP countries is low, the structure of agricultural products export is quite different, and trade competition is relatively moderate. The trade complementarity index between Korea and CPTPP countries is generally high, with strong complementarity and a large space for cooperation and development. The ARIMA model shows that in the next ten years, although the agricultural products trade complementarity index fluctuates, but is generally high, there will still be a complementarity advantage in the future. Originality/value – This study is the first attempt to investigate the competitiveness and complementarity of the agricultural products trade between Korea and CPTPP countries. We also introduce an ARIMA model to forecast and analyze the future agricultural products trade complementarity index. Our study provides new perspectives and solutions for the future development of Korea's agricultural products trade after joining the CPTPP.
Recombinant Factor VIIa for The Management of Uncontrollable Bleeding Following The Repair of Acute Type A Aortic Dissection
Authors: Elnaggar Ahmed , Khallaf Ahmed , Adas Ahmed
Published: August 2023

Background: Bleeding is a serious complication after surgical repair of acute type A aortic dissection. Recombinant factor VIIa (rFVIIa) could be used for the management of severe bleeding; however, it could lead to thromboembolic events. We aimed to report our experience in using rFVIIa in the management of severe bleeding following the surgical repair of acute type A aortic dissection.

Methods:  We performed a retrospective study, including patients who had surgery for acute aortic dissection type A and received rFVIIa, in the period between January 2012 and January 2019. We reported the amount of bleeding 4 hours before and after the administration of rFVIIa, the number of blood products transfused before and after the use of rFVIIa, thrombosis of the central venous line, as well as the presence of disseminated intravascular coagulation.

Results: There were ten patients (2 females and 8 males) out of 120 patients with acute type A aortic dissection, who required the use of rFVIIa for severe postoperative bleeding. The mean age was 67.7±10.5 years. The amount of drainage decreased from 889±585.6 ml during the 4 hours prior to the infusion, to 165±73.5 ml during the following 4 hours (p<0.001). The patients received 2752±1362.9 ml, and  618±483.3 ml packed RBCs before and after rFVIIa administration, respectively (p< 0.001). The patients received 1601±693.4 and 246±419.6 ml of fresh frozen plasma before and after the use of rFVIIa, respectively (p< 0.001). The prothrombin time decreased after the infusion of rFVIIa (42.7±32 and 17.1±8 seconds, p= 0.001). There were no clinical signs of thromboembolism after its use. Mortality occurred in five patients (50%).

Conclusion: In the life-threatening situation of uncontrollable bleeding following surgical repair of type A acute aortic dissection, rFVIIa may have benefits to control bleeding. Furthers studies are recommended.
Penyuluhan Pencegahan ISPA Balita pada Orang Tua di Desa Kassiloe Kabupaten Pangkep
Authors: Fatin Salsabila Putri Yuki  , Sarmilasari To Kau  , Kris Adi Nugraha  , Princess Stefany Jip  , Anastasya Elma Panggo  , Tiara Maharani Nur HNA  , Syamsuar Manyullei  , Hasan Nurzakiah
Published: August 2023

Dalam lingkup global, Infeksi Saluran Pernapasan Akut (ISPA) merupakan penyakit menular yang menempati urutan pertama penyebab morbiditas dan mortalitas. Angka kematian ISPA pada balita mencapai 15-20% pertahun. Prevalensi ISPA di Pangkajene Kepulauan sebesar 2,05%, lebih tinggi dibandingkan angka prevalensi ISPA di Sulawesi Selatan yaitu 1,85%. Tujuan dari kegiatan pengabdian ini adalah untuk meningkatkan pengetahuan ibu balita mengenai pencegahan ISPA pada balita. Kegiatan pengabdian ini dilakukan di Desa Kassiloe Kecamatan Labakkang Kabupaten Pangkajene Kepulauan. Kegiatan pengabdian dilaksanakan pada seluruh ibu yang memiliki balita di Desa Kassiloe sebanyak 33 responden. Hasil dari kegiatan pengabdian ini menunjukkan sebelum diberikan penyuluhan terdapat 84.8% responden berpengetahuan baik. Setelah diberikan penyuluhan semua responden (100%) berpengetahuan baik. Hal ini menunjukkan bahwa terjadi peningkatan pengetahuan pada orang tua balita terkait pencegahan ISPA. Dengan penyuluhan ini, diharapkan orang tua balita lebih baik lagi dalam melakukan pencegahan ISPA pada balita.
Pemberdayaan Kader Pedas Manis (Pengetahuan Kecerdasan Emosional dan Komunikasi) di Desa Cepaka, Kediri, Tabanan)
Authors: Prihandhani IGAA Sherlyna , Trisna Made Oktaviani Bulan , Getsuyobi Ni Kadek Ayu Trya Septi
Published: August 2023

Komunikasi di masyarakat dan antar masyarakat adalah aspek terpenting untuk mendapatkan hasil yang akan berdampak pada efek yag ditimbulkan dari hubungan sosial dalam bermasyarakat. Studi yang dilakukan di Desa Cepaka kepada seluruh kader yang ada di Desa Cepaka mengatakan bahwa belum pernah ada pelatihan mengenai kecerdasan emosional yang dilakukan di Desa Cepaka, sehingga masyarakat belum mampu untuk mengontrol dirinya atas stress yang rasakan. Solusi yang ditawarkan terhadap masalah adalah program Pengetahuan Kecerdasan Emosional dan Komunikasi. Pemberdayaan ini dilaksanakan untuk mengetahui pengetahuan kecerdasan emosional dan komunikasi dalam diri masyarakat pada kader di Desa Cepaka, Kediri, Tabanan. Pertemuan terdiri dari kegiatan penilaian sebelum (pre test), ceramah, pemutaran video, pembagian booklet dan penilaian sesudah (post test). Hasil dalam program ini yaitu terjadinya peningkatan pengetahuan dan keterampilan mitra dalam upaya peningkatan kecerdasan emosional
ProactiV: Studying deep learning model behavior under input transformations
Authors: Prasad Vidya , van Sloun Ruud , Vilanova Anna , Pezzotti Nicola
Published: August 2023

Citation Information: V. Prasad, R. J. G. v. Sloun, A. Vilanova and N. Pezzotti, "ProactiV: Studying Deep Learning Model Behavior under Input Transformations," in IEEE Transactions on Visualization and Computer Graphics, doi: 10.1109/TVCG.2023.3301722.

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Code is available here: https://github.com/vidyaprsd/proactiv
Inference engine driven by situation-based correlation
Authors: Bedare Ishita
Published: August 2023

Drawing an intelligible inference is a challenging aspect of correlation studies in data mining. Regression analysis and inferences drawn based on correlation of system state play important role in decision making. However, traditional regression algorithms operate on data in an opaque manner thereby shielding end user from knowing the reasoning behind the inference drawn. Such techniques also fail to learn from repetitive historical conditions occurring in the system over a longer time-span. In this paper, we propose a situation-based correlation technique which can be used to not only predict system behavior but also to convey reasoning behind the prediction. “Situation” can be defined as a more inclusive version of the system state, which encompasses variables, parameters, rules, and relationships that describe the behavior of the system over the span of finite time interval. The proposed algorithm identifies similar situations in high dimensional time-series records and produces interpretable digital record of matching situations. We then deploy the proposed situation-based correlation algorithm as core of inference engine to successfully demonstrate fully functional expert system. 
Contrastive Learning approach for blind Hyperspectral Unmixing (CLHU)
Authors: Hernandez-Guedes Abian , Fukushima Ryodai , Takamatsu Toshihiro , Fabelo Himar , ortega samuel , Ruiz-Alzola Juan , Takemura Hiroshi , Callico Gustavo M.
Published: August 2023

The Contrastive Learning for blind Hyperspectral Unmixing (CLHU) is a self-supervised deep learning approach for blind hyperspectral unmixing. Unlike existing deep learning methods that rely on reconstruction capabilities, CLHU leverages the input-endmembers relationship for abundance estimation. The endmembers are dynamically updated during training, controlled by two regularization factors. Extensive experiments demonstrate CLHU's effectiveness, achieving state-of-the-art performance in hyperspectral unmixing. This novel approach offers a promising perspective for the field and holds potential for further enhancements in hyperspectral unmixing tasks.
Advanced Robotic System for Efficient Pick-and-Place of Deformable Poultry in Cluttered Bin: A Comprehensive Evaluation Approach
Authors: Raja rekha , Burusa Akshay Kumar , Kootstra Gert , van Henten Eldert
Published: August 2023

This research paper presents an advanced robotic system designed for efficient pick-and-place of deformable poultry pieces from cluttered bins. The system incorporates a novel architecture with seamless integration of various modules, enabling the robot to handle deformable poultry with precision. It introduces a comprehensive evaluation approach to assess the system’s performance, considering perception, state modeling, planning and control, gripping and manipulation. The experiments were conducted on two different samples of chicken pieces with varying weights and shapes, under complex and simple scenarios. Performance indicators, failure categories, and cycle time were used for evaluation. The evaluation revealed an overall success rate of 49.4% for picking and placing chicken pieces, with failure rates of 21.8% for perception, 30.7% for gripping, and 11% for manipulation modules. These results highlight areas of improvement, particularly in object detection, grasp pose estimation in clutter, and gripper designs for deformable products, to create a robust pick-and-place solution. The proposed robotic system and evaluation method hold immense potential for revolutionizing the meat processing industry and other food processing sectors, making automation more efficient and adaptable to meet the increasing demand in the food industry.
Practical Medical Image Generation with Provable Privacy Protection based on Denoising Diffusion Probabilistic Models for High-resolution Volumetric Images
Authors: Shibata Hisaichi , Hanaoka Shouhei , Nakao Takahiro , Kikuchi Tomohiro , Nakamura Yuta , Nomura Yukihiro , Yoshikawa Takeharu , Abe Osamu
Published: August 2023

Local differential privacy algorithms combined with deep generative models can enhance secure medical image sharing among researchers in the public domain without central administrators, but those were limited to the generation of low-resolution images, which are very insufficient for diagnosis by medical doctors. To enhance the performance of deep generative models so that they can generate high-resolution medical images, we propose a large-scale diffusion model that can, for the first time, unconditionally generate high-resolution ($256\times 256 \times 256$) volumetric medical images. We specifically adopted head magnetic resonance images, but we trained the model without knowledge intrinsic for medical images; hence, we can apply the models to natural images. This diffusion model has 19 billion parameters, but to make it easy to train it, we temporally divided the model into 200 submodels, each of which has 95 million parameters. Moreover, on the basis of this new diffusion model, we propose another formulation of image anonymization with which the processed images can satisfy provable Gaussian local differential privacy and with which we can generate images semantically different from the original image but belonging to the same class. We believe that the formulation of this new diffusion model and the implementation of local differential privacy algorithms combined with the diffusion models can contribute to the secure sharing of practical images upstream of data processing.
INVESTIGATING IRAQI EFL LEARNERS’ USE OF THE SPEECH ACT OF AGREEMENT
Authors: Al-Khanaifsawy Abdullah Najim
Published: August 2023

This study investigates Iraqi EFL university learners’ use of the speech act of agreement at the pragmatic level. Additionally, the present study analyzes the productive level of the learners’ use of agreement.The study basically aims at analysing the speech act of agreement at the pragmatic level. It also aims at investigating the most common strategies used by Iraqi EFL learners to issue communicative acts of agreement at the productive level.The study hypothesizes that (1) the students’ performance of the direct strategies for showing agreement is better than the indirect onesat the productive level, and (2) the students’ performance of the explicit performative strategies for showing agreement is better than the implicit ones. To achieve the aims of the study and verify or refute its hypotheses, a sample of twenty Iraqi EFL learners from fourth year-stage in the Department of English Language, College of Education, University of Al-Qadisiya during the academic year (2014-2015) is randomly chosen to answer a questionnaire which consists of twenty different interactional situations requiring from the subjects to respond with agreement.
The study verifies the hypotheses and yields that (1) a percentage of (92%) goes to the direct strategies for showing agreement ,whereas           (8%) goes to the indirect ones, (2) a percentage of (67%) goes to the learners’ use of explicit performatives for showing agreement ,whereas only (33%) goes to the learners’ use of the implicit ones. So, the study concludes the poor use of indirect strategies and implicit performativesfor showing agreement compared to the direct strategies and the explicit performatives by the Iraqi EFL learners.
Développement industriel et aménagement du territoire dans la province de Najaf
Authors: Al-Baghdadi Abdul Sahib Naji , Shabie Muhammad
Published: August 2023

تعد التنمية الصناعية العامل الأكثر تأثيراً وسرعة في مجال التنمية مقارنة بالأنشطة الاقتصادية الأخرى في تطوير الواقع التنموي للإقليم، إذ تعد من المرتكزات الرئيسة التي تحظى بتأثيرات بارزة في جوانب التنمية والتخطيط الإقليمي كما وتسهم في تحقيق أهداف ستراتيجية هامّة في الإقليم.
مشكلة الدراسة: هل للصناعة أهمية كبيرة في التنمية الإقليمية في محافظة النجف الأشرف.
فرضية الدراسة: ضعف إسهام الصناعة في التنمية الإقليمية في محافظة النجف الإشرف. وعدم توزيعها بشكل متوازن في المحافظة ويمكن تنميتها والإعتمادعليها في التخطيط الإقليمي , تضمنت الدراسة ثلاثة مباحث تناول المبحث الأول تطوّر الصناعات الكبيرة بحسب معايير النشاط الصناعي فيما سلّط الضوء المبحث الثاني على بنية الصناعات الكبيرة في المحافظة والمبحث الثالث أهمية الصناعات الكبيرة في التنمية الإقليمية في المحافظة، وختمت الدراسة بخلاصة وتوصيات مع خريطة لآهم الصناعات الممكن الإستثمار فيها ضمن الوحدات الإدارية في المحافظة.
Analisis Kemampuan Pedagogical Content Knowledge (PCK) Guru Fisika SMA/MA Berdasarkan Masa Kerja di Kabupaten Majene
Authors: Aliah Nur , Mutmainna  , Saddia Andi
Published: August 2023

Tujuan penelitian ini adalah untuk mengetahui kemampuan Pedagogical Content Knowledge (PCK) guru Fisika SMA/MA berdasarkan masa kerja di Kabupaten Majene. Pendekatan yang digunakan dalam penelitian ini adalah pendekatan kualitatif dengan desain Studi Kasus. Adapun subjek dalam penelitian ini yaitu empat guru Fisika dari empat sekolah yang berbeda di Kabupaten Majene. Pengumpulan data dilakukan menggunakan instrumen observasi, wawancara, dan dokumentasi. Data dari penelitian ini dianalisis menggunakan teknik analisis model Miles dan Huberman diantaranya pengumpulan data, transkrip data, kodingan, kategorisasi data, dan penarikan kesimpulan. Hasil dari penelitian ini menunjukkan terdapat perbedaan antara kemampuan PCK guru >10 tahun dan guru <10 tahun dalam mengajar yang dikelompokkan ke dalam lima tema, yaitu pengetahuan guru terhadap karakteristik peserta didik, pengetahuan guru terhadap kurikulum, strategi yang diminati peserta didik, pilihan media dan sumber belajar guru, dan penilaian guru terhadap hasil belajar.
Ethical Considerations in Telemedicine and Remote Healthcare
Authors: Rahim Sara Abdul- , Alshahrani Saad
Published: August 2023

Telemedicine and remote healthcare have become increasingly important in the healthcare landscape, but they present ethical implications surrounding equitable access to care and patient privacy. Policymakers, healthcare providers, and stakeholders must address these ethical dimensions and establish guidelines to promote responsible and ethical practices. Investments in broadband infrastructure, affordable technology access programs, and digital literacy education programs are potential solutions to bridge the digital divide and ensure equitable access to care. Telemedicine and remote healthcare offers advantages such as cost savings, convenient and timely access to care, and improved care coordination but require compliance with data protection laws and regulations to ensure patient safety and quality of care. Adequate time should be allocated to address patient concerns, and patients must be informed adequately about the limitations, benefits, and potential risks of remote consultations or monitoring to uphold patient autonomy and facilitate informed decision-making.
APLIKASI LET’S READ SEBAGAI MEDIA MEMBACA NYARING UNTUK ANAK USIA DINI
Authors: Mulyaningtyas Rahmawati , Setyawan Bagus Wahyu
Published: August 2023

Membaca nyaring perlu dilakukan untuk anak usia dini. Membaca nyaring dapat membantu perkembangan bahasa anak, menanamkan literasi sejak dini, meningkatkan daya intelektual, mengatur emosi, dan mendekatkan orang tua dengan anak-anak. Seiring dengan kemajuan teknologi saat ini telah banyak bahan bacaan yang dapat digunakan pada aktivitas membaca nyaring. Salah satu media yang dapat digunakan dalam aktivitas membaca nyaring adalah aplikasi Let’s Read. Let’s Read merupakan sebuah aplikasi berupa buku digital yang dapat diakses secara daring maupun luring tanpa biaya. Penelitian ini menggunakan metode deskriptif-kualitatif. Penelitian ini bertujuan menjelaskan penggunaan aplikasi Let’s Read dalam membaca nyaring, bahan bacaan yang dapat digunakan dalam aplikasi Let’s Read untuk membaca nyaring, serta kelebihan dan kekurangan aplikasi Let’s Read. Hasil penelitian ini menunjukkan bahwa aplikasi Let’s Read dapat digunakan pada gawai milik orang tua misal ponsel pintar atau laptop. Bahan bacaan yang dapat dimanfaatkan dalam kegiatan membaca nyaring dapat disesuaikan dengan tingkat kesulitan bahan bacaan atau minat anak terhadap gambar/ilustrasi. Kelebihan aplikasi ini dapat diakses secara gratis, disajikan dalam beberapa bahasa (multibahasa), tampilan menarik dari segi ilustrasi dan penggunaan jenis maupun ukuran font (dapat diperbesar maupun diperkecil) serta isi cerita yang mudah dipahami. Di sisi lain, kekurangan aplikasi ini ilustrasi/gambar yang disajikan dalam bentuk dua dimensi.
Uji Daya Hambat Ekstrak Teh Hijau (Camellia sinensis) Terhadap Pertumbuhan Candida albicans Secara In Vitro
Authors: Paradise Chaidir Ali , Fitriani Dian Ayu , Bahtiar Rolly Riksanto
Published: August 2023

Latar belakang: Kandidiasis adalah berbagai  infeksi yang disebabkan oleh Candida albicans dan spesies lain dari genus Candida. Senyawa bioaktif antijamur berupa flavonoid, tanin dan saponin. Beberapa penelitian menunjukkan bahwa senyawa tersebut  terdapat pada daun teh hijau (Camellia sinensis). Tujuan penelitian: Untuk mengetahui kemampuan  daun teh hijau (Camellia sinensis) dalam menumbuhkan Candida albicans. Metodologi Penelitian: Ini adalah studi eksperimental sejati. Ekstrak daun teh hijau (Camellia sinensis) dan jamur Candida albicans digunakan sebagai sampel. Hasil: Menurut metode Davis dan Stout,  ekstrak yang diperoleh dari daun teh hijau (Camellia sinensis) dengan konsentrasi 25% sampai 75% cukup menghambat pertumbuhan Candida albicans pada hari pertama inkubasi Candida albicans, sedangkan pada konsentrasi 50%, terdapat efek penghambatan sedang terhadap pertumbuhan Candida albicans,  dan pada hari kedua, konsentrasi 25%, 50% dan 75% tidak menghambat pertumbuhan Candida albicans. Sedangkan kontrol positif dengan nistatin memiliki daya hambat yang kuat dan kontrol negatif tidak menghambat pertumbuhan Candida albicans pada hari pertama dan kedua. Kesimpulan: Ekstrak  daun teh hijau (Camellia sinensis) efektif  menghambat pertumbuhan Candida albicans saat diinkubasi.