bluuebunny/crossref_metadata_2025 huggingface dataset:
SOMUT OLMAYAN KÜLTÜREL MİRASIN KORUNMASI FAALİYETLERİ KAPSAMINDA ÂŞIKLIK GELENEĞİNİN SÜRDÜRÜLEBİLİRLİĞİNDE GÜNCEL ETKENLER
Authors: ALTUNSABAK Ergin
Published: October 2022

Kültür; politika, ekonomi, teknoloji, sosyolojik hareketler gibi birçok faktörden doğrudan etkilenmektedir. Kültüre etki eden bu faktörler kültürel çeşitliliği sağlayabildiği gibi kültürel çeşitliliğin aleyhine de gelişebilmektedir. Son yıllarda nüfusun kırsaldan kente doğru yoğunlaşması, kitle iletişim araçlarına ayrılan zamanın artması daha bireysel bir yaşam şeklini önceleyerek, sosyal faaliyetlerle dinamikleşen kültürel unsurların ise kaybolmasına yol açmaktadır. Bu süreçte insanın doğasında var olan farklılıkları ifade eden somut olmayan kültürel mirasa yönelik koruma yaklaşımları ve farkındalık oluşturulmasının gerekliliği önem arz etmektedir.
Buradan hareketle çalışmada, köklü geleneklerden birisi olan âşıklık geleneğinin son dönemde içinde bulunduğu durum, aktarım süreci göz önünde bulundurularak tartışılmaktadır. Bu tartışmada geleneğin aktarımını güçleştiren temel sorunlar tespit edilerek nedenleri üzerinde durulmaktadır. Âşıklığın ve âşıklık geleneğinin sürdürülememesi sadece kırsaldan kentsel alana yönelişle değil, kentsel mekânların kendi içindeki dönüşümünden de kaynaklıdır. Geleneğin icra mekânlarının değişmesi, âşıklık geleneğine dair türlerin dönüşümü ile geleneğin icra edilmesi ve geleneğe dair ürünlerin de kaybolmasını kaçınılmaz kılmıştır.
Küresel ve popüler kültürün son yıllarda bu tür yerel kültürleri etkisi altında bıraktığı görüşüyle birlikte varılan sonuçlar, âşıklık geleneği gibi yerel kültürlerin korunması gerekliliğini de ortaya koymaktadır. Hem söz varlığının hem kültürel ifade çeşitliliğinin devam ettirilmesi için bu tür yerel geleneklerin önemi yadsınamaz düzeydedir. Yerel kültürlerin yaşatarak koruma politikası içerisinde evrensel insan hareketliliğinin hizmetine sunulabilmesi aynı zamanda geleneğe ve geleneğin icra ortamlarına katma değer kazandırabilir.
Association between serum uncarboxylated osteocalcin levels and nutritional intake in Japanese female athletes
Authors: Ishizu Tatsuya , Torii Suguru , Taguchi Motoko
Published: October 2022

[Purpose] The current study aimed to determine the association between serum uncarboxylated osteocalcin (ucOC) levels and dietary vitamin K intake in female Japanese athletes.[Methods] The nutritional profile and food group intake of 52 Japanese female athletes were investigated using a digital photographic method with data obtained from 3-day dietary records. The food groups were categorized into 18 groups in line with the standard tables of food composition in Japan. Fasting blood samples were collected for serum ucOC levels, and dual-energy X-ray absorptiometry (DXA) evaluated body composition and bone parameters.[Results] The results showed that dietary vitamin K intake level was 235 ± 148 µg/day, and approximately 70% (n = 36) of participants consumed more than the adequate intake (AI) level, based on the Dietary Reference Intakes for Japanese females aged 18–29. Serum ucOC levels were negatively associated with daily vitamin K intake (r = −0.388, P = 0.004) and calcium (r = −0.596, P = 0.004) after adjusting for energy intake.[Conclusion] Our study revealed that serum ucOC levels were negatively associated with dietary vitamin K intake in female Japanese athletes. Serum ucOC levels reflected dietary vitamin K intake in female athletes. In summary, female athletes consume more vitamin K than the general population to maintain bone health. Furthermore, our results indicated that serum ucOC levels might be linked to dietary calcium intake.
Investigation of Dynamic Analysis of Corrosion Effect under to Chloride Induced in Reinforced Concrete Bridge Columns
Authors: Tangtakabi Abdolreza , Ramesht Mohammad Hasan , Golsoorat Pahlaviani Ali , Pourostam Towhid
Published: October 2022

One of the influential factors in estimating the service life of reinforced concrete bridges (RCB) is determining the long-term seismic performance of these structures. Corrosion due to chloride ion diffusion leads to the destruction of critical members of the RCB during the useful life of the structure. So, the long-term seismic performance of the bridge deteriorates as a result. It is essential to study the effect of corrosion deterioration on the long-term seismic performance of bridges in the southern regions of Iran, near the coasts of the Persian Gulf and the Oman Sea, because of the seismicity of the region and high corrosion rate of reinforced concrete (RC) members is the result of environmental conditions. In order to investigate this issue, considering studies about environmental conditions of southern Iran, the onset time of corrosion in the columns, as seismic critical members of the bridge, was determined. Based on that, the corrosion's effect on characteristics of RC at specific time points during the bridge's useful life (0, 15, 30, 45, 60, 75 and 90 years) have been calculated. The effects of corrosion include deterioration of the core and cover concrete properties, steel bar and the connection between concrete and steel bar. In the next step, at each time point, according to the modified stress-strain relationships, the moment-curvature analysis of the bridge pier was done, and the properties of the plastic hinge were determined. Finally, based on the obtained data about plastic hinge characteristics at each time point, overload analysis of the bridge was performed in both longitudinal and transverse directions. Then the capacity curves of RCB were compared at the mentioned time-points. The results show that the capacity of the bridge deteriorates over time due to corrosion. Therefore, a proposal to increase the value of base shear design has been made to ensure the long-term seismic performance of RCB in corrosive environments.
Ethnomathematics Tedhak Siten: Learning Design to Develop Student’s Critical Thinking Skill Based on Mobile Devices
Authors: Nuryadi Nuryadi , Marhaeni Nafida Hetty , Soviyati Anik
Published: October 2022

Critical thinking is one of the essential skills in the 21st century that can be developed through learning mathematics, but in practice, there has not been much facilitation of learning media. Realistic mathematics learning by utilizing culture as well as integrating technology can be used as an ideal starting point for learning. This study aims to develop a mobile learning-based mathematics learning device with a realistic learning approach in the context of the Tedhak Siten ceremony to improve students' critical thinking skills. This type of research is development research that refers to the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The data sources in this study were students and validators. The instruments used were the mobile learning application, the pretest, and posttest questions, the material expert validation questionnaire, the media expert validation questionnaire, and the student response questionnaire. The results showed that the validity aspect obtained a good category from the media expert validator and the material expert, the practical aspect of students as users obtained a good category, and the effectiveness aspect obtained a significant increase in pretest to posttest scores. So that learning mathematics with mobile learning applications can develop students' critical thinking skills and have potential effects.
Development of Interactive E-Modules Assisted by The Kvisoft Flipbook Maker Application on Algebraic Forms Grade VII
Authors: Fachrunisa Ainun , Kuncoro Krida Singgih , Arigiyati Tri Astuti
Published: October 2022

The research objectives are to develop a mathematics learning media product that can be accessed via android with the help of the Kvisoft Flipbook Maker application. The type of research is Research and Development (R&D) with a 4-D Thiagarajan research model which consists of 4 stages (Define, Design, Development, and Disseminate). The subjects of this study were 10 students of class VII SMP N 3 Bantul. Data collection techniques were performed through questionnaires and validation sheets. Based on the results of expert validation, the e-module-based learning media is feasible to be used in the mathematics learning process and is included in the very good category with an ideal percentage of 90.85%. The results of the response of educators with the ideal percentage of 87.5% in the excellent category while the results of the responses of students with the ideal percentage of 92% in the excellent category. This shows that the learning media developed is suitable for use in the mathematics learning process and e-module-based media products can be further developed in the learning process to encourage educators to be more creative and innovative in creating interesting and fun media for students.
PROTOTIPE SISTEM INFORMASI PEMESANAN VALET PARKING BERBASIS INTERNET OF THINGS
Authors: Alfian Ady , Fauzi Lutfi , Firmansyah Heri
Published: October 2022

This final project aims to create a prototype of information system for parking valet reservation based on Internet of Things, which functions to monitor and reserve a parking space remotely in order to make it easier for vehicle users to get a parking space. Making this prototype begins with collecting needs, build prototyping, evaluation, prototyping, encodes the system and evaluates the system. This project Using codular android application as a monitoring and parking space reservation media, MCU node as a control center and data receiver, red LED indicates the parking slot is occupied, LCD to display parking customer profile data, sensor line proximity to detect vehicles and as a parking fee calculation trigger, firebase realtime database as a temporary storage medium. Based on the results of testing this project that the researchers have done, it has been successfully built and has been tested to function properly. The application can send vehicle profile data, display parking availability and display parking fee calculations. Nodes MCU can retrieve data from the database to be implemented in turning on the led and displaying parking customer profile data on the LCD.

Penelitian ini bertujuan untuk membuat prototipe sistem informasi pemesanan valet parking berbasis Internet of Things, yang berfungsi untuk memonitoring dan memesan tempat parkir dari jarak jauh dalam rangka mempermudah pengguna kendaraan mendapatkan tempat parkir. Pembuatan prototipe ini di awali dengan melakukan pengumpulan kebutuhan, membangun prototyping, evaluasi prototyping, mengkodekan sistem dan mengevaluasi sistem. Alat ini menggunakan aplikasi android kodular sebagai media monitoring dan pemesanan tempat parkir, Node MCU sebagai pusat kendali dan penerima data , lampu LED merah menandakan slot parkir sudah di tempati, LCD untuk menampilkan data profil pemesan parkir, sensor line proximity untuk mendeteksi kendaraan dan sebagai pemicu penghitungan biaya parkir, firebase database realtime sebagai media penyimpanan sementara. Berdasarkan hasil pengujian alat ini yang telah peneliti lakukan sudah berhasil dibuat dan sudah diuji dapat berfungsi dengan baik. Aplikasi dapat mengirim data profil kendaraan, menampilkan ketersediaan parkir dan menampilkan penghitungan biaya parkir. Node MCU dapat mengambil data dari database untuk di implementasikan dalam menyalakan led dan  menampilkan data profil pemesan parkir pada LCD.
TEKNIK JIGSAW CUTTING PADA OUTERWEAR
Authors: Zahra Lutfia , Nabilah Nabilah
Published: October 2022

This study aims to obtain an assessment of the feasibility of the jigsaw cutting technique on outerwear. The assessment in this study was carried out by 5 expert panelists who were assessed based on aspects of appearance, fit and sustainability.The research methodology used is experimental with a quantitative approach, the design model used is Pre-Experimental Design with One-Shot Case Study design. The data collection technique used a questionnaire with Rating Scale. The application of the jigsaw cutting technique on outerwear is assessed based on the criteria of zero waste clothing, namely meeting the visual appearance, fit, and sustainability aspects to obtain good results. The results of the assessment state that the sustainability aspect is considered the most dominant aspect. This is because the sustainability aspect is the most important aspect that must be considered in the manufacture of products that apply the concept of zero waste. While the appearance aspect gets the lowest results because the color combination (blue-beige) that is applied does not pay attention to the combination of tin, tone and shade. The results of the study prove that the application of the jigsaw cutting technique can be an alternative in manufacture of outerwear.
PENILAIAN BAHAN AJAR MODUL MATERI “PENERAPAN DESAIN BUSANA UNTUK BERBAGAI BENTUK TUBUH WANITA”
Authors: Syela Yosia , Melly  Prabawati
Published: October 2022

This study aims was to created  and to know Assestment of “”design implementation for various female body shape module”. The method used in this research was a pre-experimental design with one-shut case study and used quantitative descriptive to collected the data. The research used a single variable, design implementation for various female body shape module. The indicators of this research is aspects of material, aspects of  presentation and aspects of language, self instruction, self contained, stand alone, adaptive, and user friendly, used a questionnaire instrument closed-open with panelists  to supported a data as of the collected technique. The results of the research showed that the assessment of design implementation for various female body shape module based on the evaluation of the material and media experts is in the Very Good category with the percentage  is 87,5%. The percentage of material propelness is 85% with the highest poin is the material aspect with the percentage is 87.5% and media propelness is 90% with the highest poin is Self Instructional aspects is  92.5%. The module is in the category very good because design implementation for various female body shape matched the criteria based on material experts and media experts. Self Instructional Aspects is the highest aspect that affects the results of the assessment of this study.
Анализ динамики эпидемического процесса COVID-19 в мире за неделю с 22.10.2022 г. по 28.10.2022 г.
Authors: Зимирова Анастасия , Поспелов Михаил , Иванова Александра , Дмитриева Людмила , Чумачкова Елена , Карнаухов Игорь , Щербакова Светлана , Кутырев Владимир
Published: October 2022

В обзоре представлен анализ эпидемиологической ситуации в странах мира по COVID-19, за неделю с 22.10.2022 г. по 28.10.2022 г.
Распространение вариантов вируса SARS-COV-2, вызывающих озабоченность (VOC) на основе количества их геномов, депонированных в базу данных GISAID за неделю с 22.10.2022 г. по 28.10.2022 г.
Authors: Дмитриева Людмила , Краснов Ярослав , Чумачкова Елена , Осина Наталья , Зимирова Анастасия , Иванова Александра , Карнаухов Игорь , Караваева Татьяна , Щербакова Светлана , Кутырев Владимир
Published: October 2022

В обзоре представлена информация по циркулирующим в настоящее время вариантам вируса SARS-COV-2 вызывающих озабоченность (VOC), геномные последовательности которых размещены в международной базе данных GISAID за неделю с 22.10.2022 г. по 28.10.2022 г.
Comparison of second-look arthroscopic evaluations between two femoral tunnel locations in anatomical single-bundle ACL reconstruction
Authors: Zhang Lixuan , Huo Jiabang , Guo Hanming , Li Yingshan
Published: October 2022

Background
Anterior cruciate ligament reconstruction (ACL-R) is the best treatment for anterior cruciate ligament (ACL) rupture, and the most widely used reconstruction technique is single beam reconstruction. One of the most important factors affecting the knee function after ACL-R is the location of the femoral tunnel. Therefore, how to accurately select the femoral tunnel during operation, and how to directly evaluate the integration, tension and synovial coverage of the graft after operation are all difficult problems. The purposes of this study were to determine the best femur tunnel for anterior cruciate ligament reconstruction based on a second-look arthroscopic study.
Methods
A total of 67 patients who were treated with single-beam ACL-R using allografts in our department between January 2014 and February 2020 ultimately met the inclusion criteria and were contacted for the study. A second-look arthroscopic evaluation was carried out one year after anatomical single-bundle ACL reconstruction. According to the postoperative 3D-CT, the patients were divided into the anatomic anteromedial (AM) group and the anatomic mid-bundle (center-center) group based on the femoral tunnel location.
Results
In terms of the Lysholm score, a significant difference existed between the groups at the last follow-up evaluation (p < 0.05). The tension of the graft involved was flabby in 2 patients (5.7%) in the center-AM group and 5 patients (15.6%) in the center-center group. Type I (tight cruciate ligament-like structured graft with complete synovial coating) and type II (tight, bundle-like structured graft with incomplete or lacking synovial coating) were found in 33 patients (94.29%) in the center-AM group and 27 patients (84.38%) in the center-center group. The statistical analysis showed a significant correlation between the femoral tunnel position and the arthroscopic evaluation of the grafts according to the Marburger Arthroscopy Score (MAS) (p = 0.02 < 0.05; Χ2 = 7.865).
Conclusions
Our data demonstrated a significant correlation between the femoral tunnel position, clinical condition, and arthroscopic graft constitution. We found that the anatomic AM bundle position of the graft was better than the anatomic mid-bundle placement after ACL reconstruction.
The effect of APN, hs-CRP and APN/hs-CRP in periodontitis with DAA
Authors: Cheng Rui , Xu Xiaojiang , Yang Shurong , Mi Zhongqian , Zhao Yong , Wang Chong , Shi Xuexue , gao Jinhua , Yu Feiyan , Ren Xiuyun
Published: October 2022

Background: Common chronic infections induced low-grade inflammation has been correlated with atherosclerosis as supported by strong evidence. The balance between pro-and anti-inflammatory factors was exploited to elucidate the effects of chronic periodontitis on diabetes-associated atherosclerosis.
Methods: Study subjects encompassed 30 SPF male rats randomly divided into four groups: A group,normal control(NC), B group, type 2 diabetes mellitus (T2DM), C group, chronic periodontitis (CP), D group (DM+CP). After developing the model, blood samples were collected from the angular vein analyze serum adiponectin (APN), high sense- c reactive protein (hs-CRP), and blood lipid. the carotid artery was isolated for HE staining.
Result: Compared with group A, the serum APN in group B, C and D decreased gradually with the progression of the disease. Serum hS-CRP in group B, C and D was significantly increased. At T3, T4 and T5 in group B, C and D, APN/hs-CRP significantly decreased .TC, LDL and TG significantly increased in group B, D; HDL significantly decreased in group C. Carotid artery HE staining showed: compared with group A, different degrees of endothelial defect, destruction of elastic fibers in the middle membrane, disorder of smooth muscle arrangement, and partial dissolution 、 fragmentation and Calcium salt deposition necrosis occurred in group B, C and D.
Conclusion: Enhanced systemic inflammation, decreased adiponectin level, and disorganized lipid metabolism with or without type 2 diabetes attributed to local inflammation of periodontitis can result in an imbalance of pro-inflammatory and anti-inflammatory effects. Therefore, it’s more meaningful to predict the progression of DAA with anti-inflammatory/pro-inflammatory variation.
Natural Language Processing (NLP) to Facilitate Abstract Review in Medical Research: The Application of BioBERT to exploring the 20-years use of NLP in medical research
Authors: Masoumi Safoora , Amirkhani Hossein , Sadeghian Najmeh , Shahraz Saeid
Published: October 2022

BackgroundAbstract review is a time and labor-consuming step in the systematic and scoping literature review in medicine. Automation methods, typically natural language processing (NLP), may efficiently replace manual abstract screening. This study applies NLP to a deliberately selected literature review problem, the trend of using NLP in medical research, to demonstrate the performance of this automated abstract review model.MethodsScanning PubMed, Embase, PsycINFO, and CINAHL databases, we identified 22,294 with a final selection of 12,817 English abstracts published between 2000 to 2021. We invented a manual classification of medical fields, three variables, i.e., the context of use (COU), text source (TS), and primary research field (PRF). A training dataset was developed after reviewing 485 abstracts. We used a language model called Bidirectional Encoder Representations from Transformers to classify the abstracts. To evaluate the performance of the trained models, we report a micro f1-score and accuracy.ResultsThe trained models' micro f1-score in classifying abstracts the three variables were 77.35 % for COU, 76.24% for TS, and 85.64 % for PRF. The average annual growth rate (AAGR) of the publications was 20.99% between 2000 and 2020 (72.01 articles (95%CI: 56.80-78.30) yearly increase), with 81.76% of the abstracts published between 2010 and 2020. Studies on neoplasms constituted 27.66% of the entire corpus with an AAGR of 42.41%, followed by studies on mental conditions (AAGR=39.28%). While electronic health or medical records comprised the highest proportion of text sources (57.12%), omics databases had the highest growth among all text sources with an AAGR of 65.08%. The most common NLP application was clinical decision support (25.45%).ConclusionsBioBERT showed an acceptable performance in the abstract review. If future research shows the high performance of this language model, it can reliably replace manual abstract reviews.
Language Models Learn Sentiment and Substance from 11,000 Psychoactive Experiences
Authors: Friedman Sam Freesun , Ballentine Galen
Published: October 2022

With novel hallucinogens poised to enter psychiatry, a unified framework for quantifying which changes in consciousness are optimal for treatment is needed. Using transformers (i.e. BERT) and 11,816 publicly-available drug testimonials, we first predicted 28-dimensions of sentiment across each narrative, and then validated these predictions with adjudication by a clinical psychiatrist. Secondly, we fine-tuned BERT to predict biochemical and demographic information from natural language testimonials of drug experiences. Thirdly, canonical correlation analysis (CCA) linked 52 drugs' receptor affinities with word usage, revealing 11 statistically-significant latent receptor-experience factors, each mapped to a 3D cortical atlas. Together, these machine learning methods elucidate a neurobiologically-informed, temporally-sensitive portrait of drug-induced subjective experiences. The models’ results converged, revealing a pervasive distinction between the universal psychedelic heights of feeling in contrast to the grim, mundane, and personal experiences with addiction and mental illness. MDMA was linked to "Love", DMT and 5-MeO-DMT to "Mystical Experiences" and “Entities and Beings”, and other tryptamines to "Surprise", "Curiosity" and "Realization". Applying these models to real-time biofeedback, practitioners could delicately calibrate the course of therapeutic sessions.
A phase-separated transcription factor regulates an interspecific barrier
Authors: Fujii Sota , Yamamoto Eri , Tangpranomkorn Surachat , Kimura Yuka , Miura Hiroki , Yamaguchi Nobutoshi , Niidome Maki , Shimosato-Asano Hiroko , Kato Yoshinobu , Wada Yuko , Ito Toshiro , Takayama Seiji
Published: October 2022

Pre-zygotic interspecies incompatibility in angiosperms is an important mechanism to prevent unfavorable hybrids between species. We used a genome-wide association study to identify Stigmatic privacy 2 (SPRI2), a transcription factor with a zinc-finger domain, which regulates interspecies barriers in Arabidopsis thaliana. CRISPR/Cas9-mediated genome-editing analyses indicated that SPRI2 and its SPRI2-like paralog are required for rejection of the male pollen grains of other species in the female pistils. We also show that SPRI2 and SPRI2-like express interspecific incompatibility by directly regulating the mRNA transcription of two xylan O-acetyltransferases (TBL45 and TBL40) related to cell wall modification. In addition, they control the mRNA accumulation level of SPRI1, a key factor required for interspecific pollen rejection found in our previous study. SPRI2 is localized as condensed structures in the nucleus formed via liquid-liquid phase separation (LLPS). A prion-like sequence found in the N-terminal region of SPRI2 is responsible for the formation of the condensates. Our discovery of the LLPS-regulated SPRI2 has revealed the connections between transcriptional regulation, cell wall modification, and SPRI1 in interspecific pollen rejection.
Optimization of composting methods for efficient use of cassava waste, using microbial degradation
Authors: He Xiangning , Cong Riyao , Gao Wei , Duan Xueying , Gao Yi , Li Hong , Li Zepu , Diao Hailin , Luo Jianju
Published: October 2022

With the recent revolution in the green economy, agricultural solid waste resource utilization has become an important project. A small-scale laboratory orthogonal experiment was set up to investigate the effects of C/N ratio, initial moisture content and fill ratio (v cassava residue: v gravel) on the maturity of cassava residue compost by adding Bacillus subtilis and Azotobacter chroococcum. The highest temperature in the thermophilic phase of the low C/N ratio treatment is significantly lower than the medium and high C/N ratios. The C/N ratio and moisture content have a significant impact on the results of cassava residue composting, while the filling ratio only has a significant impact on the pH value and phosphorus content. Based on comprehensive analysis, the recommended process parameters for pure cassava residue composting are a C/N ratio of 25, an initial moisture content of 60%, and a filling ratio of 5. Under these conditions, the high-temperature conditions can be reached and maintained quickly, the organic matter has been degraded by 36.1%, the pH value has dropped to 7.36, the E4/E6 ratio is 1.61, the conductivity value has dropped to 2.52 mS/cm, and the final germination index increased to 88%. The thermogravimetry, scanning electron microscope, and energy spectrum analysis also showed that the cassava residue was effectively biodegraded. Cassava residue composting with this process parameter has great reference significance for the actual production and application of agriculture.
Artificial-intelligence-based antivirus specialized in Citadel malware pattern recognition
Authors: Santos Carlos Henrique Macedo dos , de Lima Sidney Marlon Lopes
Published: October 2022

Background and Objective:
The constant growth of invasions and information theft by using infected software has always been
a problem. According to McAfee labs in 2020, on average, 480 new viruses are created each hour.
The means of identifying such threats, categorizing and creating vaccines may not be that fast. Thanks
to the increasing processing power and the popularity of artificial intelligence, it is now possible to
integrate intelligence on an antivirus engine to enhance its protecting capabilities. And doing so with
good algorithms and parameterization can be a key asset in securing one’s environment. In this work
we analyze the overall performance of our authorial antivirus and compare it with other state-of-art
antiviruses.
The means of identifying such threats, categorizing and creating vaccines may not be that fast.
Thanks to the increasing processing power of computers and the popularity of artificial intelligence,
it is now possible to integrate intelligence on an antivirus engine to enhance its protecting capabilities.
And doing so with good algorithms and parameterization can be a key asset in securing one’s
environment. In this work we are analyzing the overall performance of our authorial antivirus and
comparing it with other state-of-art antiviruses.
Methods: In this work we are using mELM, a deep neural network which can perform quick
training sections and have a satisfactory accuracy when classifying unknown files that may or may
not be infected with Citadel. Our virus database is built with many examples of well-known infected
files and our results are compared with 7 other intelligent antiviruses created by other authors.
Results: Our antivirus achieves an overall performance of 91.33% when classifying benign and
malware PE (portable executable) programs. Different initial conditions, learning functions and architectures
of our antivirus are investigated in order to maximize their accuracy.
Conclusions: In this work we have found that mELMs implementations are feasible and its performance
can match state-of-art implementations. Its training and classification time is among the
smallest found and the accuracy when detecting citadel-infected PEs is acceptable.
Design, Implementation, and Evaluation of the Computer-aided Clinical Decision Support System based on Learning-to-Rank: Collaboration between physicians and machine learning in the differential diagnosis process
Authors: Miyachi Yasuhiko , Ishii Osamu , Torigoe Keijiro
Published: October 2022

Background
We are researching, developing, and publishing the Clinical Decision Support System based on Learning-to-Rank. The main objectives are 1) Supporting differential diagnoses by internists and general practitioners and 2) Preventing diagnostic errors by physicians. The main features are that "A physician inputs a patient's symptoms, findings, and test results to the system, and the system outputs a ranking list of possible diseases."
Method
The software libraries for machine learning and artificial intelligence are TensorFlow and TensorFlow Ranking. The prediction algorithm is Learning-to-Rank., with a listwise approach. The ranking metric is Normalized Discounted Cumulative Gain (NDCG). The loss functions are Approximate NDCG (A-NDCG) and Gumbel Approximate NDCG (G-A-NDCG). We evaluated the machine learning performance on k-fold cross-validation. We evaluated the differential diagnosis performance with actual cases.
Results
The machine learning performance of our system was much higher than that of the conventional system. The machine learning performance using G-A-NDCG was slightly higher than that of A-NDCG. The differential diagnosis performance of our system was much higher than that of the conventional system. We have shown that the Clinical Decision Support System prevents physicians' diagnostic errors due to confirmation bias.
Conclusions
We have demonstrated that the Clinical Decision Support System is useful for supporting differential diagnoses and preventing diagnostic errors. We believe that Differential diagnosis by physicians and Learning-to-Rank by machine has a high affinity. We found that Information Retrieval and Clinical Decision Support Systems have much in common (Target data, Learning-to-Rank, etc.). We believe that Clinical Decision Support Systems have the potential to support 1) recall of rare diseases, 2) differential diagnoses for difficult-to-diagnose diseases, and 3) prevention of diagnostic errors. We also believe that our system has the potential to evolve into an Explainable Clinical Decision Support System.
The applications of geomatics to predicate forest fire based on earlier pre-fire conditions. A case study: Belezma national park -Algeria
Authors: AKAKBA Ahmed , Lahmar Belkacem
Published: October 2022

Remote sensing has become a primary data source for fire hazard prediction, including other techniques, but not limited to geographic information systems (GIS), artificial intelligence (AI), and machine learning. This research paper aims to measure the vulnerability to forest fires and define pre-forest fire criteria in semi-dry climates. The study area is "Belezma" national park; which represents one of the most vital national parks in Algeria since it contains numerous rarest plants in the world; and over 20% of reserved animals; as a result, the park represents an example of fire prevention in areas of high environmental values. The vulnerability is assessed by using various pre-fire factors: Normalized Difference Vegetation Index (NDVI), Normal Difference Water Index (NDWI), and land surface temperature (LST). Once the variables are generated based on Landsat 8 satellite imagery collected between May and August of the same year, the proposed fire model is implemented into a GIS environment using the analytical hierarchy process (AHP). The results demonstrated that elevation had a significant impact compared to other factors; as a result, most fires are triggered during the dry period where the vulnerability is low in the highest elevation area; vice versa, the vulnerability values are higher in the louder elevation zones. Finally, the validation was performed by using two approaches: firstly, we checked the results on the ground, where we detected 150–300 years old non-burned trees in the low vulnerability area using the dendrochronology method; secondly, we geolocated every local wildfire between 2018 and 2020; then measuring the spatial correlation between recorded wildfires and the vulnerability using Moran index method.
Association of the Pretreatment Lung Immune Prognostic Index with Immune Checkpoint Inhibitor Outcomes in Patients with Advanced Hepatocellular carcinoma
Authors: Sun Tao , Guo Yusheng , Sun Bo , Chen Lei , Ren Yanqiao , Zhu Licheng , Zhang Lijie , Liu Yiming , Zheng Chuansheng
Published: October 2022

Objective
To evaluate whether the pretreatment Lung Immune Prognostic Index (LIPI) is associated with outcomes in advanced hepatocellular carcinoma (HCC) patients under ICI.
Methods
A two-center retrospective study of patients with HCC treated with immune checkpoint inhibitors (ICIs) between January 2018 and January 2021 was performed. The patients were stratified into three groups (good LIPI, intermediate LIPI, and poor LIPI) according to pretreatment LIPI based on dNLR (neutrophil count/ [white blood cell count - neutrophil count]) greater than 3 and LDH greater than LDH normal value. The primary endpoints were overall survival (OS) and progression-free survival (PFS). The second endpoints were disease control rate (DCR) and objective response rate (ORR).
Results
In the pooled cohort (n = 224), 80 (35.7%) had a good LIPI (zero factor), 91 (40.6%) had intermediate LIPI (one factor), and 53 (23.7%) had poor LIPI (two factors). The median follow-up was 25.1 months. Median OS was 16.8 months, 12.5 months, and 9.5 months for the good, intermediate, and poor LIPI groups, respectively (P < 0.0001). Median PFS was 11.8 months, 7.8 months, and 4.0 months for the good, intermediate, and poor LIPI groups, respectively (P < 0.0001) The intermediate LIPI and poor LIPI were independently associated with shorter OS, PFS, and lower ORR, DCR (P༜0.05).
Conclusion
Pretreatment LIPI was correlated with worse outcomes for ICIs suggesting that LIPI could be promising biomarker for advanced HCC patients under ICIs.
Prevalence, forms, risk factors, and impact of violence towards healthcare workers during the Covid – 19 pandemic in Malawi
Authors: Nyangulu Wongani , Sadimba Christina , Nyirenda Joyce , Masano Angella , Chilinda Elizabeth , Nyondo-Mipando Alinane Linda
Published: October 2022

Background
The Covid – 19 pandemic overwhelmed health systems, especially, those with poor infrastructure and limited workforces. Healthcare workers face an increased workload, burnout, stress, and increasing incidence of violence as a direct result of the pandemic. If not effectively dealt with, violence against healthcare workers during the pandemic could derail the public health response. In this study, we estimated the prevalence of violence toward healthcare workers during the pandemic in Malawi. We also described the forms and perpetrators, evaluated the predictors, and determined the impact of violence on healthcare workers.
Methods
We conducted a multicenter, cross-sectional study in six health facilities across three districts in central and southern Malawi. Data collection took place from 22 February – 27 July 2022. We recruited all consenting doctors, clinical officers, nurses, ambulance drivers, health surveillance assistants, and patient attendants who were present on the day of recruitment. Standardized questionnaires were used to collect data on sociodemographic factors and professional characteristics of the healthcare workers. The main outcome measures were personal experiences of physical violence, verbal abuse, and bullying or mobbing during the pandemic.
Results
We recruited 200 study participants and 70.5% were female. The age range was 20–59 with the most common age category being the 25–29 age group (24.5%). The overall prevalence of violence was 93% (95% CI: 88.5–96.1). The prevalence of physical attacks was 5.5% (95% CI: 2.8–9.6%), verbal abuse was 91.5% (95% CI: 86.7–95.0), and bullying/mobbing was 79.2% (95% CI: 72.8–84.6). Being married (OR: 19, 95% CI: 1.9–185.3) and having 6–10 staff members working at the same time (OR: 13.8, 95% CI: 1.8–107.6) were significantly associated with a physical attack. Being married (OR: 4.7, 95% CI: 1.2–18.2), a regular member of staff (OR: 22.6, 95% CI: 1.4–410.4), and working with over 15 people at the same time (OR: 25.2, 95% CI: 5.2–122.7) were significantly associated with verbal abuse
Conclusions
The prevalence of violence against healthcare workers was extremely high during the Covid – 19 pandemic. The levels of violence were higher than pre-pandemic levels in the country and higher than levels in other countries during the same period. We recommend immediate actions to address this violence and inclusion of different stakeholders for a multi-sectoral appaorach.
Highly reusable bentonite clay@biochar@magnetic nanocomposite for Hg(II) removal from synthetic and real wastewater
Authors: Alali Abdulrhman Fahmi , Almojil Sattam Fahad , Almohana Abdulaziz Ibrahim , Almoalimi Khaled Twfiq
Published: October 2022

The present research investigates the performance of bentonite clay@biochar@magnetic nanocomposite in removing mercury (Hg2+) ions from aqueous media. Bentonite clay@biochar@magnetic nanocomposite was characterized by BET, VSM, TEM, Mapping, EDX, SEM, FT-IR, XRD and Raman analyses. According to the results, the highest uptake efficiency of Hg2+ was attained at pH 6, Hg2+ concentration of 10 ppm, 80 min, and composite dose of 1.5 g/L. In these conditions, the uptake efficiency of bentonite@activated carbon@Fe3O4 nanocomposite and bentonite were 98.78% and 97.67%, respectively, which are remarkable values. Also, the Wmax value for Hg2+ removal using bentonite@biochar@magnetic nanocomposite and bentonite were 66.66 and 60.98 mg/g, respectively. Moreover, the uptake process of Hg2+ ions using bentonite@biochar@magnetic nanocomposite and bentonite was spontaneous, physical, favorable and exothermic. Besides, the impact of various divalent ions such as Co2+, Cu2+, Pb2+, Ni2+, and Zn2+ was studied on the elimination efficiency of Hg2+ using bentonite and bentonite clay@biochar@magnetic sorbents. The results showed that Co2+ and Zn2+ ions have the highest and lowest interfering effects in the removal of Hg2+. Also, the reusability of adsorbents showed that they have high stability and can be used in at least 5 reuse cycles with high uptake efficiency. Additionally, bentonite@biochar@magnetic was able to eliminate COD, BOD5, Hg2+, As3+ and As5+ with removal efficiencies of 37.5%, 28.9%, 65%, 60.5%, and 50%, respectively, indicating its significant performance.
Study on the influencing factors and profitability of horizontal ecological compensation mechanism in Yellow River Basin of China
Authors: Liu Yiwen , Yuan Liang
Published: October 2022

Horizontal ecological compensation mechanism provides solutions for cross-domain protection of ecological environment, and the key to its implementation depends on the establishment of a suitable incentive mechanism of economic benefits to influence the conservation behavior of each interest body. In this paper, a static game model with perfect information is used to characterize the game strategies of different stakeholders in ecological compensation in the Yellow River basin and the long-term steady-state equilibrium of their benefit effects. A binary disorderly logit regression model is used to empirically study the regional benefit effects generated by the horizontal ecological compensation mechanism. The level of urban economic development and ecological environment management significantly affects the profitability of horizontal ecological compensation mechanisms in the Yellow River basin. The heterogeneity analysis find that the profitability of the horizontal ecological compensation mechanism in the Yellow River basin is stronger in the upstream central and western regions, which are more likely to produce better ecological compensation benefits as recipients of compensation funds. Governments in the Yellow River Basin should strengthen cross-regional cooperation, continuously improve the capacity building and modernization of ecological and environmental governance in the basin, and provide solid institutional guarantees for environmental pollution management in China.
Microbial Treatment of Landfill Leachate- A Sustainable Wastewater Management Tool
Authors: Jain Rachna , Devi Saravana , Majumdar Dipanjali
Published: October 2022

Wastewater management is a powerful tool for restricting containment and recycling of wastewater upto surface/drinking standard as per end use. The present study is designed to explore the treatment potential of indigenous microflora for effective and efficient recycling of sanitary landfill leachate under in-situ conditions. Three indigenous strains were screened and characterized as MT186162, MT186163, and MT186164. Their i n-situ metabolic potential was observed by augmentation into leachate under optimized culture conditions and depicted in the form of percent reduction in major pollutant parameters viz. BOD, COD, Chlorides, phenols, TDS, and TKN at regular time intervals. In our knowledge, it is the very first study on in-situ leachate treatment by indigenous microflora. Results revealed that bacterial growth correlated well with their metabolic potential ( p>0.01 ). >83% of BOD, COD, phenolics, and TKN were reduced with water quality reaching surface discharge standards after 41 days of augmentation. Microbial metabolic potential varied significantly ( p>0.05 ) in the order of MT186163> MT186162> MT186164 and followed first order kinetics with rate constants k deg - 0.0062-1.131 day -1 and t 1/2 of 0.612-111.7 days. In concurrence, the Leachate Pollution Index of the landfill site also dropped significantly from 13.39 to 5.1-5.2. AMES test exhibits no mutagenicity in the treated leachate samples. The study concludes that isolated strains are pervasive towards leachate contamination and efficiently reduced it upto surface wastewater discharge standards. Hence their potential can be utilized further while designing commercial leachate treatment strategies for wastewater recycling.
Effects of Shenling Baizhu Powder on Pyrotinib-Induced Diarrhea: Analysis of Gut Microbiota, Metabonomics, and Network Pharmacology
Authors: Lai Jingjiang , Jiang Fengxian , Zhuo Xiaoli , Xu Xiaoying , Liu Lei , Yin Ke , Wang Jingliang , Zhao Jing , Xu Wei , Liu Hongjing , Wang Xuan , Jiang Wen , Wang Ke , Yang Shuping , Guo Honglin , Qi Fanghua , Yuan Xiaotian , Lin Xiaoyan , Fu Guobin
Published: October 2022

Background
Shenling Baizhu Powder (SBP) is a traditional Chinese medicine (TCM) prescription, which has good efficacy on gastrointestinal toxicity. In this study, we used gut microbiota analysis, metabonomics, and network pharmacology to investigate the therapeutic effect of SBP on pyrotinib-induced diarrhea.
Methods
24 Rats were randomly divided into 4 groups: control group, SBP group (3.6 g/kg /bid SBP for 10 days), pyrotinib model group (80mg/kg/qd pyrotinib), and pyrotinib + SBP treatment group. A 16S rRNA sequencing was used to detect the microbiome of rat fecal bowel, metabolic profiles were collected by non-targeted metabolomics, and key metabolic pathways were identified using MetaboAnalyst 5.0. The antitumor effect of SBP on cells treated with pyrotinib was measured using a CCK-8 assay. Network pharmacology was used to predict the target and action pathway of SBP in treating pyrotinib-related diarrhea.
Results
In vivo study indicated that SBP could significantly alleviate pyrotinib-induced diarrhea, reaching a therapeutic effect of 66.7%. SBP could regulate pyrotinib-induced microbiota disorder. LEfSe research revealed that the SBP could potentially decrease the relative abundance of Escherichia, Helicobacter, and Enterobacteriaceae and increase the relative abundance of Lachnospiraceae, Bacilli, Lactobacillales etc. In addition, 25-Hydroxycholesterol, Guanidinosuccinic acid, 5-Hydroxyindolepyruvate, and cAMP were selected as potential biomarkers of SBP for pyrotinib-induced diarrhea. Moreover, Spearman's analysis showed a correlation between gut microbiota and metabolite: the decreased 25-hydroxycholesterol in the SBP treatment group was negatively correlated with Lachnospiraceae while positively correlated with Escherichia and Helicobacter. Meanwhile, SBP did not affect the inhibitory effect of pyrotinib on BT-474 cells and Calu-3 cells in vitro. Also, network analysis further revealed that SBP treated pyrotinib-induced diarrhea through multiple pathways, including inflammatory bowel disease, IL-17 signaling pathway, pathogenic Escherichia coli infection, and cAMP signaling pathway.
Conclusions
SBP could effectively relieve pyrotinib-induced diarrhea, revealing that intestinal flora and its metabolites may be involved in this process.
Pilot-scale drinking water distribution system to study water quality changes during transport
Authors: García-Timermans Cristina , Malfroot Bram , Dierendonck Cameron , Mol Zoë , Pluym Thomas , Waegenaar Fien , Arends Jan , Walgraeve Christophe , Boon Nico , De Gusseme Bart
Published: October 2022

Drinking water (DW) can undergo quality changes during transport through the distribution network. Physical-chemical and/or microbial changes can lead to the development of taste and odor events, and/or regrowth of pathogens. To understand the root causes and study in depth how these changes arise, the use of pilot plants that emulate drinking water distribution networks is essential. Here we describe the design and functionality of a new pilot plant for this purpose. First, we describe the choice of piping material, sensors and instrumentation. Secondly, we show evidence of how the three independent loops (100 m each) of the pilot behave identically when tested for physical-chemical and microbial changes over time. This pilot plant thus allows to test three conditions simultaneously, and to monitor 1) the formation of taste and odor compounds, 2) the regrowth of microorganisms, and 3) changes in dissolved organic carbon composition. Additionally, online measurements of both physical and biological parameters enable real-time follow-up of the pilot, and inner pipe biofilm sampling is possible using coupons. To reproduce different network conditions, temperature, flow rate and pressure are modulable. The temperature control feature presents an opportunity for studying the effect of climate change on drinking water quality, and its modularity and flexibility allows to study the impact of different piping material and source waters on DW quality changes in the distribution network.