bluuebunny/crossref_metadata_2025 huggingface dataset:
Forecasting Harga Komoditi Pokok Jambu Mete di Sumba Barat Daya dengan Menggunakan Metode Supervised Machine
Authors: Huan Yotan Hendra , Mara Andry Ananda Putra Tanggu , Kurra Titus
Published: October 2023

Cashew (Anacardium Occidentale L) is one of the plantation crop commodities which has economic significance and quite potential because its production can be used as raw material for the food industry. According to the Big Indonesian Dictionary (KBBI), commodities are raw materials for agricultural products, merchandise, primary goods and local crafts that can be used as export commodities, such as wheat, curry, coffee, etc. Southwest Sumba Regency is one of the places where cashew is produced to increase farmers' income, but the potential of the cashew crop must be balanced with the right price. Many researchers carry out forecasting using various methods, but in this research, the technique used is supervised learning, namely linear regression, which has a relatively high level of accuracy. This research uses the Linear Regression method to produce accurate price forecasts and to know the influence of future rises and falls in cashew prices in the Southwest Sumba district. The forecasting results in this research were Rp. 14,272/Kg with an RMSE value of 0.794.
Keywords: Cashew, Commodities, Machine Learning, Forecasting
Efektivitas Learning Management System Terhadap Pelayanan Administrasi Pembelajaran di MTs Plus Nurul Falah Jabres
Authors: Nurchayati Anisa Dwi , Gunawan Yosi Intan Pandini
Published: October 2023

Di Indonesia banyak sekolah yang sistem administrasinya pembelajaran guru masih menggunakan sistem manual khususnya di MTs Plus Nurul Falah Jabres Kebumen sehingga alternatif solusi untuk sistem administrasi tersebut dengan penggunaan Learning Management Sytem untuk pelayanan administrasi pembelajaran guru yang dapat digunakan kapan saja dan dimana saja dengan sistem online. Metode yang digunakan untuk pengembangan Learning Management System menggunakan model ADDIE (Analysis, Design, Development, Implementation, Evaluation). Tujuan penelitian ini untuk memudahkan pelayanan administrasi serta mengurangi kendala-kendala dalam pelaksanaan administrasi. Hasil analisis dari penelitian ini menghasilkan keefektifan LMS berdasarkan pada validasi, respon dan kepraktisan dengan kategori “Baik” serta dapat disimpulkan bahwa hasil validasi memperoleh skor 67,19% kategori “Baik”, respon pengguna LMS memperoleh skor 86,71% kategori “Sangat Baik”, dan kepraktisan LMS memperoleh skor 86,40% kategori “Sangat Baik” sehingga LMS pada pelayanan administrasi pembelajaran guru dapat dikatakan efektif.Kata kunci: Administrasi, Learning Management System, Manajemen, Model ADDIE.
Peran Sekolah Lapangan Organik (Slapo) dalam Mengurangi Kemiskinan Menurut Perspektif Ekonomi Islam di Nagari Sumpur Kudus Kabupaten Sijunjung
Authors: Sari Rani Marta , Zuwardi Zuwardi
Published: October 2023

The agricultural sector is one of the sectors that plays an important role in the economic growth of a country, while programs held by the government for farmers can be channeled through gapoktan platforms and farmer groups. Therefore, the formation of farmer groups often becomes a formal organization. By creating this farmer group, problems that arise can be resolved jointly by farmers starting from the technical aspects of carrying out production, meeting production facilities, and marketing their products.This study aims to find out how the role of Organic Field Schools (SLAPO) in Reducing Poverty According to the Perspective of Islamic Economics. This study used a qualitative research method with research informants Wali Nagari Sumpur Kudus and 10 members of the organic field school in Nagari Sumpur Kudus. The data collection techniques used were observation, interviews and documentation. The results of this study indicate that the role of organic field schools in Nagari Sumpur Kudus has been able to increase the income of the community, especially members of farmer groups, although there are still not many who can reduce poverty rates, they have been able to increase farmer productivity, namely by using organic fertilizers with ingredients that are easy to find in around the environment. So farmers no longer spend a lot of money in cultivating farmers' fields. With the existence of an organic field school in Nagari Sumpur Kudus with the aim of increasing knowledge, skills and being able to overcome the obstacles faced by farmers. Keyword: Islamic economics, Poverty, Organic Field School
Environmental Protection Beyond Agitation
Authors: Hegde N.G.
Published: October 2023

The author believes that environmentalists should create awareness at the grassroots for conservation of natural resources instead of focussing only on agitation against development projects. Introduction of exotic seeds, trees, cattle as well as over use of chemical fertilisers and pesticides are discussed at length.
The Influence of Contemporary Art Trends on Visual Communication Design
Authors: Liu Haoyu , Li Haoming
Published: October 2023

Since modern times, the western contemporary art trend has undergone long-term evolution and development, and has formed various art and design factions. At the same time, it has also greatly promoted the development of related fields of visual communication design. The two penetrate and influence each other, and there are many similarities in the ideological concept, expression form and actual creation process. It is a very critical task to absorb new artistic concepts and new creative skills from the contemporary art trend, so that the development of visual communication design enters a new stage of development. This paper takes minimalism and Pop art, the representative schools of contemporary art trends, as a starting point to find the meeting point between them and the field of visual communication design, and extracts and summarizes their artistic characteristics. At the same time, the influence of contemporary art trend on visual communication design is deeply analyzed, so as to promote the development of visual communication design towards a diversified direction.
Feasibility Study of Introducing Images of Divine Beasts from the Classic of Mountains and Seas into the Teaching of University Illustration Courses
Authors: Deng Yasheng
Published: October 2023

Shan Hai Jing (The Classic of Mountains and Seas) is one of the most widely circulated books in ancient China, which is a collection of mythological novels with the theme of "Zhi Wei", the author of which is no longer known. The content mainly records the mountains and rivers, birds and animals, grass, trees, insects and fish, as well as local customs in the ancient times. It is not only the first work of our ancient novels, but also an important source of our ancestors' imagination. Therefore, it is of great significance to introduce the images of sacred beasts in Shanhaijing into the teaching of university illustration courses, so that students can understand the images of sacred beasts in Shanhaijing in more aspects, and improve their aesthetic ability while learning traditional culture.
On the Influence and Significance of Contemporary Art Trends on Modernist Visual Communication Design
Authors: Hu Lu , Cheng Jiaojiao
Published: October 2023

In the era of pursuing exquisite life, people's aesthetics have undergone great changes, and visual communication art has also undergone qualitative changes due to the influence of contemporary art trends. This paper analyzes the connotation and bright beauty of futurism trend of thought. Futurism trend of thought provides an operational basis for the innovative development concept of visual communication design, and analyzes the application and cases in visual communication design. In this paper, literature related to futurism and visual communication design is analyzed by the method of literature induction and inductive deduction. The idea of futurism can meet people's yearning for the future, meet the needs of visual communication design, to a certain extent, improve the quality of life of people in the future, and provide the possibility of expression in modern society.
FUNCTIONAL OUTCOME OF ARTHROSCOPIC ANTERIOR CRUCIATE LIGAMENT RECONSTRUCTION AUGMENTED WITH NATIVE ANTERIOR CRUCIATE LIGAMENT AS BIOLOGIC AUGMENTATION
Authors: ANWER MW , KHATTAK WA
Published: October 2023

Anterior Cruciate Ligament (ACL) injuries represent a significant challenge in orthopedic surgery and sports medicine. These injuries, often incurred during athletic activities, accidents, or even everyday movements, can lead to severe pain, instability, and a substantial reduction in an individual's quality of life. The current study was carried out to determine the functional outcome of arthroscopic ACL reconstruction augmented with native ACL fibers as biologic augmentation. This descriptive case series was conducted on 85 patients diagnosed with ACL injury. Outcome of arthroscopic ACL reconstruction augmented with native ACL fibers as biologic augmentation was determined using Lysholm score. Comparison of pre and postoperative Lysholm scores was assessed using Paired Samples T Test. The mean age of the patients was 35.94±12.78 years. The mean preoperative Lysholym score was 44.05±4.54. The mean postoperative Lysholm score was 88.19±4.80; the difference was statistically significant (P = 0.0001). We conclude that arthroscopic ACL reconstruction augmented with native ACL fibers achieved a satisfactory outcome with a statistically significant difference between preoperative and postoperative Lysholm score.
Aminothiazole, Schiff base: synthesis, characterization and evaluation of their antimicrobial and antioxidant activity
Authors: Saleh Abdulghani Saba , Khalaf Rasheed Malath
Published: October 2023

The research involves a synthesis of 2-amino-thiazole compounds (sulphanilamide, sulfacetamide, sulphamethoxazole, and 4-amino benzoic acid) with a bromine and potassium cyanide in the presence of glacial acetic acid as a solvent by using microwave irradiation method (S1-S4). Schiff bases were prepared by the reaction of compounds (S1-S4) with Benzaldehyde substitution aldehyde as (3-hydroxy-4-methoxybenzaldehyde, 4-hydroxybenzaldehyde, 4-chlorobenzaldehyde, 4-bromobenzaldehyde). The synthesized compounds were characterization using Fourier transform-infrared (FTIR), mass, proton nuclear magnetic resonance spectroscopy (1H-NMR), and Thin-layer chromatography (TLC). Some of the synthesized compounds were tested for antifungal activity against Candida species and antibacterial activity against isolates of Bacillus Puimilus using Nystatin and Neomycin sulfate as reference standard drugs. The results indicate that the synthesized compounds have the ability to inhibit the growth of the tested fungi and bacteria.
Determination of uranium concentration levels in human hair and nails
Authors: J. Raheem Zeena
Published: October 2023

The study aims to evaluate the efficiency of the nuclear trace detector technology in determining and comparing the levels of uranium concentration in human hair and nail samples. 45 samples of hair and nail samples were collected from people of both sexes living in three areas close to the Iraqi Atomic Energy Organization. The uranium concentrations were determined by calculations based on a comparison with the standard samples. Uranium concentration levels in hair and nails varied from 20 to 680 ng/g and from 1 to 55 ng/g, respectively. It was found that the concentrations of uranium in hair were higher than the concentrations of uranium in the nails. The study showed the highest concentration of uranium in the hair and nail samples of the residents of the Al Tuwaitha area.  Additionally, there is a significant disparity between the levels of uranium concentrations in the hair and nails between men and women, and between the population of the same region.
The seasonal fluctuations in weather and their impact on the flowering, fruit setting, and growth of date palm fruits (phoenix dactylifera L.) in Iraq
Authors: Hadi Ismail Mukhalad , Abd Ali Samir , Ibrahim Abd Gaith
Published: October 2023

Date palm cultivation is widespread in central and southern Iraq, along the banks of the Tigris and Euphrates rivers and their branches, as well as on the shores of the Shatt al-Arab. It extends along a latitude line of approximately 35 degrees north to 30 degrees south. The date palm has been closely associated with Iraq's ancient civilization and history, helping many communities to settle. Iraq preserves more than 630 varieties of agricultural varieties that are distributed geographically across date palm plantations. Date palm cultivation is confined to the latitude lines of 10 to 35 degrees north of the equator, but the date palm gives a good yield in areas where the temperature is high, the humidity is low, and rainfall is absent, from the flowering stage to fruit maturity. Temperature, humidity, light, and wind all affect growth, flowering, and fruit quality and maturity, in addition to limiting the spread of diseases and insects. These factors are determinants of the spread and success of date palm cultivation.
تقييم مستوى انزيم النبريليسين وبعض الهورمونات في المصابات بمتلازمة المبيض متعدد الأكياس
Authors: نعمت درويش بيان , فاروق شاكر شيرين , شوقي الجبوري فراس
Published: October 2023

متلازمة المبيض متعدد الاكياس من اكثر اضطرابات الغدد الصماء انتشاراً بين النساء في سن الانجاب، تهدف هذه الدراسة الى معرفة تأثير المتلازمة على مستوى انزيم النبريليسين وبعض الهورمونات الجنسية، اشتملت الدراسة على 70 عينة لنساء مصابات بمتلازمة المبيض متعدد الأكياس، وعشرون عينة لنساء سليمات في سن الانجاب، و تم سحب العينات مرتان لكل حالة، الاولى في الفترة الجريبية ( الاسبوع الاول من الدورة الشهرية) والثانية في الفترة الأصفرية (بعد الاسبوع الثالث من الدورة الشهرية)، وقد تم تسليط الضوء على مستوى بعض الهورمونات (البروجستيرون والتستوستيرون) في المصابات ومقارنة النتائج مع مجموعة السيطرة. كما تم تقييم نشاط نظام الرينين انجيوتنسين ألدوستيرون ومدى تأثر متغيراته بهذه المتلازمة، حيث تم تقدير مستوى الانزيم المحّول للأنجيوتنسين2 والنبريليسين والذي هو انزيم مرتبط بالنظام بشكل غير مباشر. أظهرت النتائج انخفاض معنوي في مستوى البروجستيرون في الفترتين الجريبية والاصفرية في المصابات مقارنةً بمجموعتي السيطرة، كما اظهرت إرتفاع معنوي في مستوى كل من هورمون التستوستيرون والانزيم المحوّل للأنجيوتنسين2، بينما أظهر إنزيم النبريليسين فرق معنوي كبير بين مجموعة السيطرة والمرضى في الفترة الجريبية، حيث تم التوصل الى تأثر نظام الرينين انجيوتنسين بمتلازمة المبيض متعدد الأكياس.
The development and progression of non-alcoholic fatty liver disease are influenced by adipose tissue pro-inflammatory cytokines. (Review Article)
Authors: Asaad Mahdi Mohammed , Shaalan Sahab Khalid , Yousif M AL-dulaimy Waseem
Published: October 2023

Non-alcoholic fatty liver disease (NAFLD) is a disorder where persons who don't drink alcohol have an increase in liver fat. NAFLD has been connected to many variables. If left untreated, it can worsen into a type of non-alcoholic steatohepatitis (NASH). In all types of inflammatory illnesses, cytokines play a significant role. Inflammation is sparked by pro-inflammatory cytokines released by immune system cells and several other cell types, including adipocytes. According to the body mass index (BMI) of NAFLD patients, we evaluated the association between pro-inflammatory cytokines and progression of NAFLD in this review. The pro-inflammatory cytokines tumor necrosis factor-α (TNF-α), transforming growth factor-1 (TGF-1), and interleukins (IL)-1 and -6 were shown to be increased in NAFLD patients compared to those who were healthy, the levels were much higher. In conclusion, there is a significant connection between inflammation and NAFLD and an increase in pro-inflammatory cytokines in overweight or obese people.
قياس مستوى هرموني الكورتيزول واللبتين وانزيمات الكبد لدى الأشخاص البدينين
Authors: عامر محمد فاتن , عيسى احمد شيماء , طاهر ماهر فراس
Published: October 2023

الهدف من هذه الدراسة هو معرفة مدى تغير مستوى هرمون الكورتيزول و مستوى هرمون اللبيتين وانزيمات الكبد لدى الأشخاص الذين يعانون من السمنة وزيادة الوزن حيث أصبحت السمنة في الآونة الأخيرة من مشاكل العصر وتم القيام بهذا البحث من اجل معرفة ما اذ كان ارتفاع هرمون الكورتيزول وارتفاع هرمون اللبتين يسبب زيادة الوزن وإذ كانت السمنة تؤثر بحد ذاتها تؤثر على انزيمات الكبد بشكل ملحوظ وتم اخذ ثلاثة مجاميع وهي كالتالي مجموعة السمنة وكان مؤشر الكتلة لهاBMI (34.41±3.88) ومجموعة زيادة الوزن BMI(27.66±1.51) ومجموعة السيطرة أي كانت اوزانهم طبيعية BMI(22.15±1.52) وقد تم جمع العينات من الرجال والنساء الذين تتراوح أعمارهم بين (20 - 50) وتم جمع العينات من مدينة تكريت من محافظة صلاح الدين. اذ أظهرت النتائج ان هناك ارتفاع معنوي في تركيز هرمون الكورتيزول ضمن الحدود الطبيعية في الاشخاص الذين يعانون من السمنة والوزن الزائد مقارنة مع الوزن الطبيعي الطبيعي ( P ≤ 0.05). حيث أظهرت النتائج ان هناك ارتفاع معنوي بين تركيز هرمون اللبتين لدى الأشخاص الذين يعانون من السمنة الوزن الزائد مقارنة مع الوزن الطبيعي حيث كان (P ≤ 0.01) فقد اظهرت النتائج ان هناك فرقات معنوية في تركيزALT لدى الأشخاص الذين يعانون من السمنة و زيادة الوزن مقارنة من الأشخاص الطبيعيين بينما أظهرت النتائج انه لا توجد فروقات معنوية في تركيز AST بين الأشخاص الذين يعانون من السمنة وزيادة الوزن مقارنة مع الأشخاص الطبيعيين بينما ا ظهرت النتائج انه هناك زيادة معنوية في تركيزALP لدى الأشخاص الذين يعانون من السمنة وزيادة الوزن مقارنة مع المجموعة الطبيعية حيث كانت قيمة P ≤ 0.01)) ونستنتج من ذلك ان هرمون اللبتين وهرمون الكورتيزول تزداد بشكل ملحوظ لدى الأشخاص الذين لديهم زيادة وزن ملحوظه وأيضا تبعاً لذلك تزدا كل من انزيمات الكبد ALP,ALT بسبب زيادة هرمون اللبتين الذي يكون سبب من أسباب السمنة بسبب زيادة افرازه في الجسم.
The influence of the digital pulse wave reference point on the pulse transit time measurement and variability
Authors: Kameran adnan Suzan , Neda Feza Shalal , Al-Gailani Bassam T.
Published: October 2023

By measuring pulse wave velocity (PWV) via an arterial route, one can determine the stiffness of the artery. The duration between the ECG R-wave climax and a reference point on the digital pulse wave (DPW) in the same cardiac cycle must be determined in order to determine the pulse transit time (PTT). The time it takes for a pulse wave to travel from the heart to a peripheral artery location is known as the PTT. To find out the best reference point on the DPW that is associated with the least beat-beat coefficient of variation (CV) of PWV. The study was carried out on 10 healthy young males aged 19 years. A two-minute recording of the left middle fingertip DPW signals (through piezoelectric Finger Pulse Transducer) and lead II ECG (through three surface electrodes) were carried out. PTT was calculated as follows: from the climax of the electrocardiogram R wave to the onset (foot) of the DPW (PTT1); from the apex to the onset points of the DPW at 10% of its amplitude (PTT2); and from the apex to the onset points of the DPW at 50% of its amplitude (PTT3). PTT1, PTT, and PTT3 were measured on each volunteer and on the same cardiac cycles.
التقدير الكمي للايبوبروفين في الشكل النقي والصيدلاني باستعمال كروماتوغرافيا السائل عالي الأداء ذو الطور العكوس
Authors: الغره غولي فلاح حسن , حنون عماد طارق
Published: October 2023

استندت هذه الطريقة على استخدام كروماتوغرافيا سائل عالي الاداء ذو الطور المعكوس لتحليل عقار الايبوبروفين بصورة مفردة، وتعد هذه التقنية من اهم التقنيات التي تستعمل في فصل وتحليل المواد المراد قياسها، ومن خلال النتائج تبين ان الايبوبروفين ينفصل عند زمن احتجاز 4.781 دقيقة وعند طول موجي 197 نانوميتر، تم تحديد افضل الظروف لفصل العقار قيد الدراسة وبالاعتماد على طريقة المتغير الأحادي، اذ أظهرت النتائج ان المدى الخطي للتراكيز التي ممكن ان تعمل بها الطريقة بين 0.07-0.13 مكغم\مل ، تم حساب قيمة حد الكشف ووجدت أنها تساوي 0.000443  مكغم/مل والاستردادية المئوية  99.3- 100.34 % ، ومن خلال ما تم التوصل اليه من معطيات والتي تحدد الظروف الفضلى يلاحظ نجاح الطريقة في تقدير عقار الايبوبروفين في شكله النقي وفي المستحضرات الصيدلانية.
Studying the Risk Factors on COVID-19 Patients in Nineveh Governorate
Authors: Al-Obaedy Ahmed O. , Al-Helaly Luay A.
Published: October 2023

The world witnessed a major crisis when the new Corona virus (Covid-19) appeared, and its effects are still continuing, as no gender, race, age, or color was excluded from infection, and given the disease represented by a pandemic that spread in most parts of the world in recent years and still poses a threat to Therefore, it is a fertile field for studies and to delve into it extensively. This research included a study of the effect of infection times, obesity, smoking and age on the levels of enzymes: lactoperoxidase (LP), lactate dehydrogenase (LDH), alanine aminotransferase (ALT), and aspartate aminotransferase (AST), as well as measuring interleukin-6 (IL-6). In Nineveh Governorate, (100) samples were collected from Covid patients (50) and a healthy group (50), whose ages ranged between (20-70) years and for both sexes. It was observed that there was a high significant increase (0.0001) in all the measured enzymes (LP, LDH, ALT and AST) as well as an increase in the level of IL-6 when comparing the total COVID-19 patients with the control group. The results showed that there was a significant increase in the levels of different enzymes (LP, LDH, ALT and AST), as well as IL-6 level in patients with COVID-19 aged 40 years and over, compared with the group of patients aged (20-39) years, as well as among patients who smoked compared to with non-smokers and control group. The results showed that there was a high significant increase in all variables measured in patients with obesity, more than patients with normal weights and control group. In addition, it was observed that there was a high significant increase in activity of LP when the number of infections increased in patients with Covid-19, and an increase in the activity of LDH, ALT and AST and the level of IL-6 in patients with Covid infected once compared with patients infected more than once and when compared with control group. The study concluded that there are clear effects of the levels of measured enzymes (LP, LDH, ALT, AST) and level of IL-6 in patients with COVID-19, and the factors of age, smoking, obesity, and the incidence of infection for one time had the greatest effect on the level of the measured variables, which reflect the increase in the severity of the disease in infected patients.
المتغيرات الفسلجية والكيموحيوية وتأثيراتها لدى مرضى الصدفية النقطية في مدينة سامراء
Authors: لفتة محمد فوزي , عبد الرحمن مصطفى علي
Published: October 2023

تهدف هذه الدراسة لمعرفة تأثير الصدفية على بعض المتغيرات الفسلجية والكيموحيوية ومقارنتها مع مجموعة السيطرة، أجريت الدراسة للمدة من 1 ايلول ولغاية 1 كانون الاول 2022 اذ تم جمع (60) عينة قسمت الى مجموعتين مجموعة السيطرة 30 شخص و30 شخص لمجموعة الصدفية النقطية تراوحت اعمار المصابين من 15-68 سنة، وجمعت العينات من عيادة الامراض الجلدية في مستشفى سامراء العام وبعض المختبرات الطبية للعيادات الخارجية. اذ تم قياس كل من انزيمات الكبد المتمثلة بـ   ALT,AST والحديد والفيريتين كذلك دراسة المتغيرات المناعية المتمثلة بمعدل الانترلوكين IL-18. واظهرت النتائج حصول ارتفاع معنوي لدى انزيمات الكبد والانتر لوكين 18 وحصول انخفاض معنوي للحديد والفيريتين مقارنه بمجموعة السيطرة عند مستوى معنوي P ≤ 0.05.
Study the effect of barely drinks on some haematological variables on male rats
Authors: Al-khateeb Su’adod Osama , Khalefa Shereen Jomaa
Published: October 2023

The purpose of the experiment was to determine how barley drink affected the physiological and biochemical changes in male white rats. The lab animals were divided into four groups of five male white rats apiece, in comparison to the control group, the Saudi and Iraqi drink groups, and the beer drink group, the results showed a significant increase (P≤0.05) in haemoglobin and a percentage of agglutinated cells in the beer drink group, respectively.  Compared to the control group and the Iraqi barley drink group, the Saudi beer and barley drink group had a considerably greater concentration of red blood cells. The quantity of red blood cells in the control group significantly decreased(P≤0.05) in comparison to the other groups. The number of white blood cells was significantly higher in the Saudi barley group compared to the control group and the Iraqi beer and drink groups, however it was significantly lower in the Iraqi barley drink group compared to the control and other groups. Compared to the control group, the Saudi beer and syrup groups, the Iraqi barley group, and the control group, respectively, platelets significantly increased and significantly decreased. Compared to the Saudi barley group and the beer group, the levels of glucose in the blood of white rats in the Iraqi barley group was much lower (P≤0.05). In comparison to the healthy control group, there was a substantial drop in all Iraqi, Saudi, and Al-Bireh groups. When compared to the control group, the cholesterol levels in the blood serum of white male rats in the Iraqi, beer, and Saudi barley groups increased significantly(P≤0.05). When compared to the Saudi barley, Iraqi barley, and control groups, the beer group exhibited a substantial rise significant increase (P≤0.05)  in triglyceride concentrations in white male rats.
استخدام مخلفات النخيل ونواتج الايض الثانوي للفطر ترايكودرما كمرشح حيوي لمعالجة مياه الصرف الصحي
Authors: جاسم دنيا حسين , الشمري رنا هادي حميد
Published: October 2023

يعد التلوث بالمواد العضوية في النظم البيئية المائية واحد من اهم انواع التلوث الذي تهدد البيئة المائية. اذ تم إزالة هذه الملوثات من المياه عن طريق تقييد نواتج الايض الثانوية لفطر ترايكودرما والـفحم العضوي المنتج بعملية الانحلال الحراري لمخلفات النخيل بمادة الاكار اكار كمادة مسامية والتحري عن التأثير التآزري لزيادة كفاءة الهضم الحيوي للملوثات العضوية في المحاليل المائية.  تضمنت الدراسة الحالية عزل انواع فطريات متحملة للملوثات من مناطق شديدة التلوث من نهر دجلة والتحري عن انتاجها مواد ايض ثانوية فعالة ,اذ تم اختيار الجنس ترايكودرما واثبت انتاجه لأكثر من 20 مادة فعالة مسؤولة عن ازالة الملوثات تم التحري عنها بجهاز مطياف الكتلة   GC-Ma وكون هذه المواد الفعالة غير مستقرة تم تقييدها بنسبة (1:1) لمادة  الاكار اكار بنسبة 6% و5 غرام الفحم  العضوي المنتج  بعملية  الانحلال الحراري لمخلفات النخيل ولسهولة التعامل بها وسهولة ازالتها من المياه واعادة استعمالها لعدة مرات في عملية التصفية. اذ تم معالجة المياه الملوثة بواسطة مفاعل حيوي وتم التحقق من المجاميع الفعالة المسؤولة عن سحب الملوثات بواسطة فحص الاشعة الحمراء طيفية التصوير FTIR ) (   اثبت الكشف عن وجود السكريات المتعددة مثل الكايتين والكلوكان الداخلة في تركيب المجاميع الفعالة وبعد فحص المادة تحت المجهر الالكتروني للتأكد من تقييد المواد داخل التركيب المسامي للأكار, تم معالجة المياه الملوثة  بواسطة المرشح الحيوي وخلال 24 ساعة تم التخلص وبنسبة 98% من كل الملوثات في المياه شملت العكورة وطلب الاوكسجين الحيوي والاس الهيدروجيني وتراكيز عالية من المضادات الحياتية.
دراسة اتزان وحركية امتزاز صبغة الميثيلين الزرقاء باستخدام نوع جديد من الكاربون المنشط المحضر من أشجار اليوكالبتوس
Authors: الراشدي محمد حسين حنودي , الحيالي عماد عبدالاله صالح
Published: October 2023

تضمن هذا البحث تحضير مادة مازة جديدة عن طريق تحويل النفايات الطبيعية منخفضة التكلفة بطريقة غير مكلفة اقتصاديا الى مادة تستخدم لمعالجة التلوث. هذه المادة قد يمكنها إزالة ملوثات اخرى لاسيما الأصباغ المستخدمة في صناعات صباغة الانسجة والاقمشة في مدننا في العراق. أظهرت الدراسة الحالية من خلال قياسات (XRD، SEM، BET، EDX) أن الكاربون المنشط المحضر يحتوي على جزيئات نانوية وذو كفاءة عالية في إزالة الملوثات المختلفة. تم تطبيق أربعة نماذج من ايزوثيرمات الامتزاز على النتائج التجريبية للنظام المدروس وهي: كل من ايزوثيرم Freundlich وLangmuir  و Flory-Huggins (FH) و (Fowler-Guggenheim (FG. اعطى تطبيق معادلة ايزوثيرم FH على البيانات العملية لامتزاز صبغة MB المدروسة علاقة خطية جيدة عند درجة حرارة 293oK  ا وبمعامل الارتباط (R2) مقداره (0.9914) وهذا يدل على انطباق هذا الايزوثيرم على البيانات العملية للامتزاز في النظام المدروس بنجاح ويمكن استخدام قيم الثوابت المتضمنة فيه للدلالة على مواصفات النظام.. تشير القيم السالبة للطاقة الحرة (-ΔGo) المحسوبة من ايزوثيرم(FH) ، المطبقة في هذه الدراسة ، إلى أن التفاعل يكون تلقائيًا  باتجاه الامتزاز   (ΔGo=-104.548) kj/mol أثبت ايزوثيرم FG أن التداخلات الجانبية بين جزيئات المادة الممتزة (W = 8.339 kj/mol) هي من نوع التجاذبي. كما تم تطبيق نموذجين من حركية الامتزاز على البيانات العملية للامتزاز قيد الدراسة؛ معادلة المرتبة الأولى الكاذبة والثانية الكاذبة. أشارت النتائج إلى أن تفاعل الامتزاز يخضع لقانون الدرجة الثانية الكاذبة.
Atom Bound Connectivity, Zagreb, Sombor, Nirmala and Harmonic Indices of Dendrimers
Authors: Ghazal Huda. A. , Arif Nabeel. E.
Published: October 2023

A nanostar is a very small molecule ranging in size from 1-100 nanometers. It is typically composed of materials such as polymers, silica and others. Nanostars are of great significance in various fields, including drug technology, energy technology and other applications. The topological index is a numerical depiction of a molecular structure. Within chemical graphs, the atoms and the chemical bonds connecting them are symbolized by vertices and edges, respectively. Topological indices help to predict the topological properties of nanostar dendrimers, such as molecular weight and size. In this article, we  computed the first Zagreb index, the second Zagreb Index, the third Zagreb  index,   Sombor index, ABC index, Nirmala index and Harmonic index of two new families of nanostar dendrimers such as   is also known as aminoisophthalate diester monomer and  known as Poly (amidoamine).
On a Subclass of Meromorphic multivalent Functions associated with q-differential operator
Authors: جاسم ابتهال نصيف , Abdil Rahman S.
Published: October 2023

In this present paper, we have introduced and defined a new subclass of meromorphic multivalent function using the q-differential operator in punctured unit disk  We have obtained some geometric properties like coefficient inequality, a sufficient and necessary condition for the meromorphic multivalent functions to be in the class  and we have get a corollary from that theorem. Also, we have acquired the growth and distortion theorems bounds for the class Subsequently we have fixed the radii of starlikeness and convexity theorems. After that we have proved the class  is closed under convex linear combinations. Also, we have introduced the extreme points theorem and proved that. Finally, we have obtained arithmetic mean theorem in the same class.
Crop disease recognition based on the YOLOv5 and transfer learning
Authors: Ding Qiwen
Published: October 2023

Crop disease detection is an important factor in agricultural production. Traditional object detection methods can't effectively screen key features, resulting in weak crop disease control in many countries. In recent years, several convolutional neural networks for object detection have been proposed, which makes it possible to apply computer vision to crop disease identification through deep learning. YOLOv5 is an advanced object detection network, which can extract key features and use human visual attention mechanism as a reference. This paper would evaluate the performance of four pre-trained models of YOLOv5 in object detection of crop diseases. And transfer learning was used to train the corresponding dataset. The experiment results have showed that the F1 values of the four models all reached above 0.93, and the Yolov5x got the best result, which achieved 0.963. Furthermore, the detection accuracy of the four models has reached more than 98%. This shows that the YOLOv5 series network models have great application prospects in the identification of crop diseases. In the near future, the object detection model can be applied to various mobile devices, even unmanned aerial vehicles, which would play a significant role in crop disease prevention.
Multi-scale filter-enhanced transformer for sequential recommendation
Authors: Cui Xiyu
Published: October 2023

Recent research has shown that self-attention mechanisms improve Sequential Recommender Systems (SRS) by capturing sequential associations with the interactions. Nevertheless, existing work still needs to address two critical limitations. Firstly, the behavior of users in the original sequences contains various preference signals that are implicit and noisy and hard to reflect the users intentions fully. As a result, it would deteriorate the representation of their true intentions to model all interactions. Secondly, most models only model single-scale interaction sequences and ignore the multi-scale feature relationships of the sequences. In order to address these limitations, the paper proposes MFTSRec (Multi-scale Filter Enhanced Transformer Sequential Recommender), which can weaken those interactions irrelevant to the users intentions from their implicit feedback and adaptively focus on the users multi-scale intentions. Besides, this paper also does extensive experiments on four benchmark datasets and further demonstrates the effectiveness and robustness of MFTSRec compared to the state-of-the-art model.
Predicting houses price by deep learning neural network
Authors: Xu Zidong
Published: October 2023

Deep learning is widely used in various fields, the article proposed a deep learning method to predict house prices through different characteristics of real estate, establish a prediction model, and carry out simulation experiments. First, extracting data from property transactions records, it is difficult to directly input the raw-data into the deep learning model, and there may be overfitting in the model training, so data will be pretreated. Second, Fully-Connected Neural Network is used to model different features influences to price. The sample data will be randomly divided into a training set and a validation set, of which 70% of the samples are used for building and training the model, and the remaining 30% are used for model accuracy verification. Experimental results show that the model can achieve a high accuracy in predicting houses price. The model can be used as a reference for the evaluation of housing prices.
The comparison of top-down and bottom-up methods in multi-person pose estimation
Authors: Li Ruijie
Published: October 2023

2D multi-person pose estimation is a process to detect all bodies in a two-dimensional picture. The main purpose of this report is to discuss the difference between top-down and bottom- up method in multi-person human pose estimation. This estimation will focus on many people in one picture. There are two popular methods in this area. The first is top-down method, which is to find people firstly and then to detect the body of each people. On the other hand, the bottom-up method is to detect body parts and then find each person. Their comparison and analyse in algorithm, speed and accuracy may help researchers to find more suitable methods when they research in human pose estimation. Generally, top-down methods have higher accuracy than bottom-up methods but have higher speed.
A case study on computer-vision based automatic meter reading recognition
Authors: Yucheng Wang
Published: October 2023

There is a lot of economic pressure in the conversion of traditional meters to smart meters, so there is a need to develop smart meter reading technology based on computer vision. There are a large number of computer-vision-related meter reading technologies on the market, but they may be applicable to different scenarios and have their own advantages and disadvantages. After comparative research, it was found that many simple algorithms can solve meter-reading weaknesses, but they all have some weaknesses. Our analysis of common meter reading technologies based on computer vision can allow us to better understand this field, understand the use of various algorithms, and at the same time have positive guiding significance for the pursuit of better algorithms.
Ethnic minorities' mentality and homosexuality psychology in literature: A text emotion analysis with NRC lexicon
Authors: Yimu Xu
Published: October 2023

As a significant subfield of natural language processing (NLP), text emotion analysis has been extensively researched and applied in various domains, such as media, education, and medicine. It has shown significant results in annotating blog posts that rely on an extensive corpus of short phrases. However, in interdisciplinary fields like literary pragmatics, character emotion analysis in literature becomes crucial. Despite the importance of this topic, there are fewer studies, especially for niche subjects such as ethnic minorities' mentality and homosexuality psychology. This paper examines the effectiveness of the widely used lexicon National Research Council of Canada (NRC) in detecting metaphorical words in the famous homosexual novel Maurice. To increase the accuracy of the test, we classified and cleaned the stop words using the Natural Language Toolkit (NLTK) before the analysis step. Our results indicate that the lexicon is able to demonstrate reasonable emotional changes in the story.
Design and analysis of FIFO system based on basic circuit functions
Authors: Liu Shengyu
Published: October 2023

Due to the insufficient data acquisition rate and high power consumption of sensors, this article focuses on addressing the issue of clock cycle interaction error resulting from the excessive amount of data on integrated circuit chips. Specifically, a FIFO design is proposed to achieve the transmission and transformation of data under different clock cycles. The technical challenges associated with creating an asynchronous FIFO, reducing the probability of encountering semi-stable states, and achieving delay control are analyzed in this paper. To tackle the semi-stable error, a Gray code converter and two-stage synchronizer are employed. The designed FIFO also leverages the difference and phase difference of read and write pointers to achieve high-accuracy delay control. The experiments demonstrate that the designed FIFO can successfully facilitate correct writing and reading operations. Through Modelsim simulation tests, the waveform is more precise than before, and the operation of the designed FIFO is realized.
A verilog design for cascading a large-capacity asynchronous FIFO with a synchronous FIFO
Authors: Liu Keyu
Published: October 2023

In modern large scale ASIC designs, multiple clock systems are often involved, which can create problems with data transfer in different clock domains. A practical solution to this problem is the use of asynchronous FIFOs (First In First Out) for buffering the transfer of data from different clock domains. A high-capacity asynchronous FIFO cascaded with a synchronous FIFO is designed based on a conventional asynchronous FIFO using the Verilog language. The input data is processed across the clock domain by the asynchronous FIFO, and the data output from the asynchronous FIFO is cached and output again by the synchronous FIFO. The module increases the FIFO depth while enabling data to be transferred across the clock domain. The simulation is completed within the Modelsim software which accordingly verifies the two main roles of the FIFO in processing data, namely the cross-clock domain and the data caching function. Simulation results show that the asynchronous FIFO data is written and read correctly and that the empty/full flag signal is correct.
CMF-SMR: Convolutional matrix factorization for sequential movie recommendations
Authors: Shi Zihui , Ge Yaoning
Published: October 2023

Recommender system (RS) has become an essential component of e-commerce, social media, and other online platforms. Collaborative filtering (CF) is one of the most commonly used techniques in RS that relies on user-item interactions to generate recommendations. However, CF suffers from the cold-start problem, sparsity, and scalability issues. To address these challenges, this work propose a hybrid system called Convolutional Matrix Factorization for Sequential Movie Recommendations (CMF-SMR), which combines matrix factorization (MF) with convolutional neural networks (CNNs). CMF-SMR leverages the non-linear feature extraction capabilities of CNNs and the representation learning abilities of deep learning to enhance the accuracy and robustness of traditional MF-based RS. Specifically, CNNs and MF were used to respectively extract features from user-item interaction data and use them as input for learning user and item representations. The learned representations are then used to predict user-item ratings. This work evaluates the performance of our proposed method on two publicly available datasets, and the experimental results demonstrate that our method outperforms several state-of-the-art techniques in terms of accuracy, scalability, and robustness. Moreover, this work conduct evaluation metrics to demonstrate the accuracy of our proposed method. Overall, our proposed CMF-SMR provides a promising solution for addressing the limitations of traditional CF-based RS and can be applied in various domains, including e-commerce, social media, and personalized content recommendation systems.
Introduction and application analysis of FIFO-related methods
Authors: Luo Ruiqing
Published: October 2023

In this paper, an improved method of using binary pointers is proposed based on the analysis of the basic principles and structure of FIFO. The paper also presents a high-speed data acquisition system based on STM32 with an asynchronous FIFO designed to solve the insufficient data acquisition speed and high-power consumption problems of fiber-optic grating sensors in the electrical industry. The use of binary pointers significantly improves the processing speed and reduces the power consumption of the FIFO, thus improving the overall efficiency.In addition, the paper introduces the use of a field-programmable gate array (FPGA) design as the control core of a color sorter system. This overcomes the drawbacks of processor-based multi-channel color sorters, including low delay accuracy, poor consistency, and persistent signal loss. The FPGA offers superior performance due to its parallel computing capabilities and flexibility in algorithm implementation, making it ideal for high-performance applications such as color sorting systems.The color sorter system designed using FPGA technology is capable of sorting different materials based on color, shape, and size. The system's superior performance is due to the use of an asynchronous FIFO buffer that enables real-time color recognition and processing. By incorporating the FIFO buffer, the system can achieve high processing speeds, consistent color recognition, and minimal signal loss, providing a valuable solution for applications requiring high-precision color sorting.
Brazilian coin counter research report
Authors: Wu Yian , Lin Xiran , Wu Xie , Cheng Han
Published: October 2023

Though coins are less used in the informational era, a significant amount of the population still uses physical coins for financial transactions. Also, when the countrys government collects the coins for equivalent digital currency transactions, coin identification is still vital yet tedious. Moreover, the dated coins and the difference in illuminations. This novel presents a coin identification and validation model based on the Alex Net convolutional model. It identifies the value of a coin through the numbers, animals, and plants on the two sides. The model employs data enhancement, feature attention layers, max pooling, and residue groups. We collected 2826 images of Brazilian coins with reverse motifs, and the experimental accuracy of our model reached 0.97. The code part has shown here: https://github.com/Erik-Xie/-Brazilian-Coin-counter-Research-Report.git
Analysis and application research on key issues of channel coding
Authors: Huang Jiatai
Published: October 2023

Channel coding plays a crucial role in enhancing the reliability and efficiency of communication systems, particularly when transmission channels are disrupted by noise and interference. This paper presents an in-depth review of various channel coding techniques, their applications, and future research directions. Key topics discussed include prevalent channel coding methods, such as repetition codes, convolutional codes, LDPC codes, turbo codes, and polar codes. The paper also delves into the selection of suitable channel coding parameters and their applications in digital TV, mobile and satellite communications, unmanned aerial vehicle data links, speech communication, and underwater acoustic channels. Moreover, the paper explores the performance analysis and comparison of different channel coding techniques, shedding light on their strengths and weaknesses. Lastly, the paper identifies emerging trends and challenges in channel coding research, providing valuable insights for researchers and practitioners in the field of communication systems. By examining these techniques and future directions, this comprehensive overview aims to contribute to the development of more robust and efficient channel coding schemes for a wide range of communication applications.
Streaming process based on Spark and Kafka and its case application
Authors: Fang Jiayi
Published: October 2023

E-commerce platforms gradually integrate into our lives. Online shopping has become a daily habit for people. People who shop online will generate online shopping records in real time. These online shopping records are often massive. E-commerce platforms use relevant big data technology to conduct statistics on real-time user data. In response to the current demand for e-commerce platforms for big data real-time computing technology, this article provides an idea of big data streaming computing, a framework for combining two big data technologies, Spark and Kafka, to process streaming data. This framework uses Kafka to send real-time data to SparkStreaming for calculation. Then the obtained data is visualized. This article applies these two big data technologies to simulate and implement an application case of an e-commerce platform. This case design and implementation enables real-time statistics of the click volume of a mobile phone brand on an e-commerce platform and dynamic display of streaming data on the Web.
Brain tumour MRI detection and classification based on the convolutional neural network
Authors: Xie Yihan
Published: October 2023

Magnetic Resonance Imaging (MRI) has emerged as a widely used diagnostic technique for brain tumour detection. However, the diagnosis of brain tumours poses significant challenges due to their occurrence in diverse locations and various types. Furthermore, MRI generates images that require manual analysis by physicians, which can be laborious and prone to errors. To enhance the efficacy and accuracy of brain tumour detection, recent advances in artificial intelligence have led to the development of machine learning algorithms. In this study, a convolutional neural network (CNN) based method was proposed for brain tumour detection and classification through the preprocessing of raw MRI images. The customized CNN model achieves an accuracy of 98% on a dataset consisting of four types of MRI images, including three types of brain tumours and healthy brain images, with preprocessing applied to all images. The CNN model demonstrates an accuracy of 95% in classifying raw MRI images from the dataset. The CNN model's performance is further improved by training the model with preprocessed images that have been transformed into the same colour space and object area zoomed in. These findings provide a promising avenue for the development of automated and efficient brain tumour detection systems using CNN and MRI.