bluuebunny/crossref_metadata_2025 huggingface dataset:
تقنيات إدارة المعرفة في المؤسسات
Authors:   طالبة دراسات عليا، (دكتوراه قسم علم المعلومات، تخصص إدارة معرفة)، جامعة الملك عبد العزيز، المملكة العربية السعودية, أصغر أبرار , ضليمي سوسن ,   عضوة هيئة تدريس، كلية الآداب والعلوم الانسانية، قسم علم المعلومات، جامعة الملك عبد العزيز، المملكة العربية السعودية
Published: November 2022

تهدف هذه الدراسة إلى التعرف على تقنيات إدارة المعرفة وفوائد استخدامها لإضافة الميزة التنافسية وتحسين جودة المنتجات والخدمات المقدمة من قبل المؤسسات. وعلى الرغم من أهمية هذه التقنيات ومعرفة المؤسسات بأهمية استخدامها إلا أنه ينبغي رفع وعي الموظفين بأهمية تطبيق إدارة المعرفة لمساعدة المؤسسة في اتخاذ القرارات المهمة والعاجلة في الوقت المناسب، ولهذا تقوم هذه الدراسة بإلقاء الضوء على التقنيات الذكية لما لها من دور كبير في تسهيل المهام وتوفير الوقت والجهد للموظفين. وتستخدم الدراسة منهج المراجعة العلمية وتحليل المحتوى لجمع إلى هذه التقنيات وتوضيح عمل كلاً منها في مجال إدارة المعرفة. ومن أهم نتائج الدراسة هو الخروج بنموذج لتقنيات إدارة المعرفة مقسمة بناءً على عمليات إدارة المعرفة الخمس وهي: التشخيص والتوليد، والمشاركة، والتخزين، والتطبيق. ومن أبرز التقنيات الحديثة التي تم تغطيتها في النموذج ما يلي: تقنيات الذكاء الاصطناعي، وقواعد البيانات، برمجيات تخطيط الموارد الأساسية، تقنيات ذكاء الأعمال، والبريد الإلكتروني، ونظم إدارة المعرفة وغيرها. ومن النتائج المهمة أيضاً توفر موظفين يعملون في بيئة تعاونية لمشاركة المعرفة، ومنهجية منظمة لاستخدام التقنيات بكفاءة وفعالية. وتوصي الدراسة بضرورة استخدام بعض هذه التقنيات في المنظمات بما يتناسب مع أهدافها وحجمها وامكاناتها لتطوير الخدمات والمنتجات التي تقدمها. وضرورة استخدام تقنيات إدارة المعرفة كأدوات مساعدة في التقاط معرفة الافراد ونشرها واستخدامها. ومعرفة أهداف المؤسسة وطبيعة عملها للتحديد أفضل تقنيات إدارة المعرفة الممكن استخدامها
THE EFFECT OF PRACTICING WITH A REDUCED DIAMETER RIM ON THE EFFICIENCY OF FREE THROWS WITH YOUNG BASKETBALL PLAYERS
Authors: Erčulj Frane , Trafela Anže , Štrumbelj Erik , Jakovljević Saša , Mandić Radivoj
Published: November 2022

Even though free throws account for approximately 20% of all points in a basketball game, practicing free throws is often not given enough attention. We analyse the efficiency of practicing free throws with a reduced diameter rim to monitor the changes of successful free throws and the changes of the angle of ball entry. Our sample included 57 top young basketball players, aged 15 to 18. After the experimental programme of practicing free throws, the efficiency of the free throws did not increase (neither during testing nor during competition) and neither did the angle of ball entry. The angle of entry with a standard and a reduced diameter rim are strongly correlated (r = 0.86) – most players retain their own shooting trajectory, regardless of the diameter of the rim. It seems that using a reduced diameter rim by itself, without instruction, does not lead to an increase of the angle of entry.
DIFFERENCES IN BODY COMPOSITION BETWEEN YOUNG FOOTBALL PLAYERS OF FOOTBALL CLUBS IN MONTENEGRO, BOSNIA AND KOSOVO
Authors: Gardasevic Jovan , Bjelica Dusko , Vasiljevic Ivan , Corluka Marin , Arifi Fitim , Sermaxhaj Sami
Published: November 2022

The aim of this research was to determine the differences between the young football players (U19) in terms of anthropometric characteristics and body composition of three the most successful clubs in three countries of the southern region of the Balkan Peninsula. These are FC Sutjeska from Montenegro, CSC Zrinjski from Bosnia and Herzegovina and FC Prishtina from Kosovo. This survey involved a sample of fifty-three young football players. In Montenegro, the measures have been established for thirteen young football players of FC Sutjeska of the average age 17.62±.87, in Bosnia and Herzegovina for 27 players of CSC Zrinjski of the average age of 17.33±.78, and in Kosovo for 13 players of FC Prishtina of the average age 17.77±.59. Football players were tested immediately after the end of the competition season 2018/19. Anthropometric characteristics and the body composition were evaluated by a battery of 11 variables: body height, body weight, triceps skinfold, biceps skinfold, skinfold of the back, abdominal skinfold, upper leg skinfold, lower leg skinfold, body mass index, fat percentage and muscle mass. The significance of the differences between the young football players of the three the most successful football clubs in their countries in the anthropometric characteristics and variables for assessing body composition were determined by ANOVA test. ANOVA test found that the young football players of the three mentioned clubs don’t have statistically significant differences by the variables.
PSYCHOLOGICAL PHENOMENA AND SURFING: PERSONAL CHARACTERISTICS, LIFE SATISFACTION AND FLOW EXPERIENCE IN CZECH AND SLOVAK SURFERS
Authors: Sidorová Dana
Published: November 2022

The aim of the study was to explore the relationship between surfing and flow experience, life satisfaction and personality characteristics of Czech and Slovak surfers. We worked with two samples: Surf group (N = 69; F: 34, M: 35; age: 20 - 47) and Non-surf group (N = 70; F: 39, M: 31; age: 18 – 50). The data was collected online by the Flow State Scale-2 (Řezáč, 2007), the Life Satisfaction Questionnaire (Fahrenberg et al., 2001) and the NEO 5-factor Personality Inventory (Hřebíčková & Urbánek, 2001). The Flow Questionnaire (Han, 1988) was administrated for the Non-surf group to identify a flow activity. In relation to the flow experience, surfers described dimensions of an autotelic experience and experienced a time transformation more often than nonsurfers and non-surfers described the flow dimensions of unambiguous feedback and a sense of control more often than surfers. The group of surfers had higher rates in all the dimensions of life satisfaction as well as in the overall life satisfaction. However, statistical significance was not reached. The results also suggest that surfers are more emotionally stable, more extraverted, more open to new experiences and more conscientious. This study can serve as a launching pad for further research in inland surfing.
EVALUATION OF MISTAKES IN BACKSTROKE SWIMMING
Authors: Stibilj Januša , Košmrlj Katarina , Kapus Jernej
Published: November 2022

Purpose. We tried to determine the perceptions of experienced swimming teachers and coaches (hereinafter “experts”) regarding common mistakes in backstroke swimming. Moreover, we compared their evaluation with the evaluation of participants with no professional expertise in teaching/coaching swimming (hereinafter »non-experts«). Methods. 70 participants were recruited and divided either in the experts group (E) or in the non-experts group (NE). Group E consisted of 21 swimming coaches (11 males and 10 females; ages 34 ± 11 years) with the certificate of Slovenian Swimming association and with lengthy experience (at least 10 years) in teaching and coaching swimming. 49 undergraduate students (29 males and 20 females; ages 18 ± 1 years) without any teaching or coaching experiences in swimming were assigned to Group NE. They were asked to mark 42 mistakes that most commonly occur in backstroke swimming. They evaluated these mistakes on a seven-point scale of importance for backstroke swimming performance. Results. For 27 of 42 mistakes significant differences existed in evaluations between both groups. Group NE marked them with a significantly lower score, i.e. as less important than Group E. Conclusion. In light of the results obtained by Group E, a scale of importance of mistakes for backstroke swimming was established. This scale could be used for future swimming teachers’ preparation in a way to understand the principles of backstroke with greater ease. Moreover, it could help swimming teachers and coaches classify swimmers according to their backstroke technique performance.
PREDICTORS OF AGILITY IN YOUTH SOCCER PLAYERS: CONTEXTUALIZING THE INFLUENCE OF BIOLOGICAL MATURITY
Authors: Veršić Sime , Foretić Nikola , Spasić Miodrag , Uljević Ognjen
Published: November 2022

This study aimed to evaluate factors that influence soccer-specific change-of-direction speed (SSCODS) and reactive agility (SSRAG) in youth soccer players, taking into account their biologicalmaturity. The sample comprised 41 youth soccer players (14-15, height: 167.1±8.7 cm, mass: 56.1±4.9 kg) tested on anthropometrics, 10m-sprint, countermovement jump, reactive-strength-index, 20-yard generic test [20-yard], SSCODS and SSRAG. The biological-maturity was calculated on the basis of peak-height-velocity and expressed as maturity-offset (MO). The significant correlations between MO with remaining variables were evidenced, and the highest correlations were noted for CMJ and the 20-yard generic CODS test (Pearson’s r = 0.61 and -0.63, p < 0.01; respectively). Multiple regression analyses were performed for 20- yard, SSCODS, and SSRAG as criteria. Predictors explained 66% percent of the 20-yard- and 40% of the SSCODS-variance (both p < 0.05). The biological-maturity has a minimal influence on performances where coordination, cognitive and perceptual capacities are important determinants of achievement.
CORRELATION OF HANDGRIP STRENGHT WITH VERTICAL AND HORIZONTAL PLYOMETRIC JUMPS
Authors: Krejač Klemen , Žvan Milan , Peharec Stanislav , Čoh Milan
Published: November 2022

Handgrip strength is a good general indicator of physical fitness. It has long been used as a diagnostic tool, the results of which are related to eating habits, rotator cuff weakness, fatigue, and general physical fitness. We did not find any research of correlation of handgrip with the jumping force, so we wanted to test this in our study. We expected correlations between these two areas of power. The study included vertical and horizontal plyometric jumps, handgrip strength, and some body characteristics. Relationships were verified by correlation analysis. The study included 64 students of the Faculty of Sport, who performed 9 plyometric tests, a handgrip test, and measurements of body characteristics. The results in the participants show the dominance of the right hand and a significant correlation between the strength of the handgrip and body weight. Plyometric jumps show large differences between men and women. In men, there was only the significant correlation of handgrip strength with the test standing triple jump (HG_L/STJ: r=0.33; HG_R/STJ: r=0.35). In women, the force of the handgrip is correlated with the standing triple jump (HG_L/STJ: r=- 0.57; HG_R/STJ: r=-0.55) and horizontal jumps on one leg (HG_L/HJOL_L: r=0.60; HG_R/HJOL_L: r=0.56; HG_L/HJOL_R: r=0.62; HG_R/HJOL_R: r=0.58). Handgrip strength is only correlated with some plyometric jumps. Small number of correlations is most likely due to large differences in neuromuscular mechanisms, as handgrip involves isometric, absolute strength, and plyometric jumps involve relative strength, where subjects must overcome their own body weight. However, it is also necessary to consider the low number of subjects, especially female, which reduced the variability of the sample and the possibility of generalization to the wider population. As expected, of the body characteristics, body weight is most correlated to the handgrip strength.
UPPER LIMB RELATED FACTORS IN DETERMINING POSTURAL CONTROL
Authors: Kodak Muhammed Ihsan , Ozudoğru Anıl , Ozsoy Ismail
Published: November 2022

Postural control is an outcome of complex interactions between many systems and structures to control body position in space. Appropriate postural control is necessary for the initiation and continuation of movements in different body parts, such as the upper limbs. Although the importance of maintaining postural control for movement is well recognized, its relationship with upper limb functions is unknown. The present study investigated the factors related to the upper limb in determining postural control in healthy young adults. We included 68 nonsymptomatic individuals in this cross-sectional study. The static and dynamic postural stability and upper limb performance parameters of the participants were evaluated. Multiple Linear Regression analysis was performed to determine the independent determinants of postural control. According to the results of the analysis, Six Minute Peg Board Ring Test (6PBRT) explaining 11% of the variance was the independent determinant of static general stability index (p<0.05). Nine-Hole Peg Test (9HPT) explaining 5.3% of the variance was the independent determinant of static anterior-posterior stability index (p< 0.05). It was concluded that upper limb functions were a determinant of static postural control in non-symptomatic young adults. The 6PBRT and Medicine Ball Chest Launch Test (MBCLT) explaining 16.5% of the variance were found as independent determinants of static medial-lateral stability index (p<0.05). It was concluded that upper limb functions were a determinant of static postural control in non-symptomatic young adults. There was no significant relationship between dynamic stability indices and upper extremity functional parameters (p>0.05). It was concluded that upper limb functions were a determinant of static postural control in non-symptomatic young adults.
Sjećanja sarajevskog jevreja Benjamina Samokovlije – Damjana o njegovom učešću u narodnooslobodilačkom i antifašističkom ratu u Jugoslaviji (1941-1945)
Authors:   Institute of National History - Skopje, North Macedonia, Manojlovski Aleksandar
Published: November 2022

Benjamin Samokovlija (Sarajevo, 31.III.1918 - Skopje, 28.II.1996), comes from a Jewish family. On April 5, 1941 he was mobilized in the ranks of the army of the Kingdom of Yugoslavia. In the second half of August 1941, Benjamin joined the ranks of the National Liberation Army and the People's Liberation Army. He took part in numerous battles in the anti-fascist war for the liberation of Yugoslavia. After the Fourth Enemy Offensive of the Supreme Headquarters of the People's Liberation Army and Partisan Detachments of Yugoslavia which took place in the first half of 1943, Samokovlija together with part of his partisan unit were captured by the Germans and imprisoned in Zenica. After a month in the Zenica prison, a group of 600 prisoners, including Samokovlija, were transferred to the Thessaloniki concentration camp. In October 1943, through an EAM connection, Benjamin Samokovlija managed to escape and join ELAS. He remained in the ranks of the Greek partisans until the contact with the Macedonian partisans from the First Macedonian-Kosovo Brigade on the territory of the Aegean part of Macedonia in the period between the second half of December 1943 and January 1944. He was admitted to the III Battalion and was in charge of the agitprop of the battalion, from where he was later transferred to the ranks of the II, V and X brigades, acting as a battalion commissioner and participating in the battles for the liberation of Macedonia. At the very beginning of World War II in 1941, Benjamin Samokovlija lost many of his immediate family members, including his parents and wife. As direct witnesses to the measures taken for the physical and economic destruction of the Jews in Bosnia and Herzegovina by the German occupying authorities, their collaborators and the authorities of the Independent State of Croatia, his three sisters joined the People's Liberation War. His eldest sister Laura was killed in 1945. Benjamin Samokovlija is the holder of several military and state decorations. During his tenure, he ran a number of state-owned enterprises. It is particularly important to emphasize that for less than two decades he served as President of the Jewish community in the Republic of Macedonia, building strong friendly relations with other religious communities in the country.
Review: Sead Selimović, UBIJENI I PROTJERANI: Promjene u etničkoj strukturi stanovništva Bosanskog podrinja od 1991. do 2013. godine pod uticajem rata protiv Bosne i Hecegovine, Centar za istraživanje moderne i savremene historije Tuzla, Tuzla 2022, 446 str.
Authors:   Faculty of Philosophy, University of Tuzla, Šabotić Izet
Published: November 2022

Review: Sead Selimović, UBIJENI I PROTJERANI: Promjene u etničkoj strukturi stanovništva Bosanskog podrinja od 1991. do 2013. godine pod uticajem rata protiv Bosne i Hecegovine, Centar za istraživanje moderne i savremene historije Tuzla, Tuzla 2022, 446 str.
Conference Report: Izvještaj sa okruglog stola Tuzlanska Kapija – ubijanje mladosti 1995. Nekažnjeni ratni zločin, Centar za istraživanje moderne i savremene historije Tuzla i Institut za istraživanje zločina protiv čovječnosti i međunarodnog prava Univerziteta u Sarajevu, Tuzla, 23. maj 2022. godine
Authors:   Center for Research of Modern and Contemporary History Tuzla, Jajčević Jasmin
Published: November 2022

Conference Report: Izvještaj sa okruglog stola Tuzlanska Kapija – ubijanje mladosti 1995. Nekažnjeni ratni zločin, Centar za istraživanje moderne i savremene historije Tuzla i Institut za istraživanje zločina protiv čovječnosti i međunarodnog prava Univerziteta u Sarajevu, Tuzla, 23. maj 2022. godine
Conference Report: Izvještaj sa okruglog stola Heroine odbrane Bosne i Hercegovine, Kalesija, 20. septembar 2022. godine
Authors:   Institute for the Research of Crimes against Humanity and international law, University of Sarajevo, Haseljić Meldijana Arnaut
Published: November 2022

Conference Report: Izvještaj sa okruglog stola Heroine odbrane Bosne i Hercegovine, Kalesija, 20. septembar 2022. godine
Aktivnosti Centra za istraživanje moderne i savremene historije Tuzla u 2021. godini
Authors:   Center for Research of Modern and Contemporary History Tuzla, Jajčević Jasmin
Published: November 2022

Aktivnosti Centra za istraživanje moderne i savremene historije Tuzla u 2021. godini // Activities of Center for Research of Modern and Contemporary History Tuzla in 2021.
PERAN ORGANISASI IKATAN KELUARGA SUMBA BARAT DAYA SEBAGAI WADAH PEMERSATU WARGA SUMBA BARAT DAYA DI BALI
Authors: Yansen Rambi Riti Arnoldus , Putu Yasa I Gede , Adiwidya Yowana I Made
Published: November 2022

Penelitian ini bertujuan untuk mendeskripsikan Peran Organisasi Ikatan Keluarga Sumba Barat Sebagai Wadah Pemersatu Warga Sumba Barat Daya di Bali dan untuk mengetahui bentuk interaksi yang terjadi di dalamnya. Interaksi tersebut sangat penting bagi tiap usaha organisasi ini membantu warga Sumba Barat di Bali meningkatkan pendapatan mereka. Penelitian ini merupakan penelitian deskriptif kualitatif. Subyek penelitian ini adalah pengurus organisasi dan anggota yang bergabung dalam organisasi Ikatan Keluarga Sumba Barat Daya di Bali. Pengumpulan data dilakukan dengan menggunakan metode wawancara dan dokumentasi dengan teknik pemilihan informan menggunakan purposive sampling di mana jumlah informan yaitu 5 orang yang diambil berdasarkan orang-orang yang dianggap memiliki banyak informasi apa yang diteliti. Teknik yang digunakan dalam analisis data adalah reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa hasil dari peran tersebut adalah; a. organisasi sebagai wadah interaksi sosial, saling kerja sama bagi anggota Sumba Barat Daya di Bali dan wadah untuk belajar, saling membantu satu dengan yang lain guna  antara anggota yang bergabung sehingga dapat meringankan beban di rantauan; (b. Organisasi Ikatan Keluarga Sumba Barat Daya di Bali  memungkinkan para anggota untuk saling mengenal satu sama yang lain dan menjalin silaturahmi, saling belajar untuk hidup yang lebih baik lagi.
DEMONSTRASI MAHASISWA INDONESIA DALAM MERESPONS ISU-ISU SOSIAL DI TENGAH PANDEMI COVID-19
Authors: Pratama Adhitiya Prasta , Swarizona Silkania
Published: November 2022

Munculnya pandemi Covid-19 menimbulkan berbagai macam persoalan. Ditutupnya segala fasilitas publik membuat aktivitas masyarakat terhambat.  Kehadiran pandemi pada kenyataannya tidak meluluhkan semangat anak muda dalam hal ini mahasiswa. Mahasiswa, sebagai ujung tombak suara rakyat, memiliki peran penting dalam menyuarakan aspirasi rakyat yang tertindas. Ketidakadilan terhadap kaum bawah ditandai dengan Undang-undang Ciptaker, prosedur pencairan JHT, dan usaha pelanggengan masa jabatan presiden. Aksi demonstrasi di tengah pandemi tetap terjadi dan menarik untuk dikaji. Penulis menguraikan data secara deskriptif dengan metode kualitatif untuk mengungkap alasan,motif, dan faktor-faktor aksi demonstrasi yang dilakukan mahasiswa. Untuk memperoleh data, penulis menggunakan pendekatan studi pustaka dan studi korpus. Setelah itu, penulis  mengaplikasikan teori gerakan sosial dan protes sosial. Penulis menemukan faktor-faktor pendorong, yaitu keinginan perubahan, mengekspresikan jati diri anak muda bangsa, dan adanya tujuan yang sama dari mahasiswa dalam melakukan demonstrasi di tengah pandemi.
Profitability, Managerial Ownership, and Audit Committee on Stock Returns in Indonesian Commercial Banks
Authors: ADY Sri Utami , ZAMAN Masrurahtul Ainie
Published: November 2022

Profitability shows the managerial ability to generate profits for the company. A high level of profitability gives a signal to investors about the company's better prospects in the future, thereby attracting investors and ultimately increasing stock prices. Managerial ownership also shows investors that managers are concerned about the company's development, so investors will assume that managers will work better if they are also shareholders. Meanwhile, the audit committee is in charge of internal supervision for the company. This study analyses profitability, managerial ownership, and audit committee to stock return in Indonesian commercial banks during the Covid-19 pandemic. The population of this study is companies in the banking sector listed on the Indonesia Stock Exchange from 2018 to 2020. Sampling was done through the purposive sampling technique, thus obtaining 44 companies as research samples. The analysis technique used multiple linear analyses. The results of this study indicate that profitability has a significant negative effect on stock returns. It could have happened due to the COVID-19 pandemic in 2020, which caused all stocks to drop drastically. In contrast, managerial ownership and the audit committee have no partial effect on stock returns because managerial ownership has a minimal influence. So, it is considered less effective in influencing administrative actions in decision making and the audit committee, which does not affect whichever several auditors will not affect the company's performance through the total assets or profits that the company will obtain. This study implies that, during the COVID-19 pandemic, the variables studied have a minimal effect on stock returns because psychological factors influence stock prices in the form of investor panic, which makes banking sector stocks have low and even negative returns.
Performance Evaluation of TCP and UDP Protocols under EPLAODV Rout-
ing Protocol in Emergency Situations
Authors: Soomro Muhammad Ali
Published: November 2022

Mobile ad hoc networks (MANETs) can easily be deployed in a disastrous situation. Mobile routing protocols provide efficient routing strategies in such situations to share critical and emergency-related information. Many researchers have designed various energy and link-aware routing protocols but research still needs improvement. This study focuses on and evaluates the performance of TCP and UDP transport layer protocols under the EPLAODV routing protocol in an emergency. Various emergency-related scenarios are designed and simulated in the NS-2 environment. Network traffic load, node mobility, and simulation time are the main parameters. It is observed from the results that the TCP performs better than UDP under EPLAODV in an emergency situation.
Host-based intrusion detection system using Support Vector Machine
Authors: Memon Saifullah
Published: November 2022

In line with the communication industry’s use of recent advancements in network technology to link remote areas of the world, attackers or intruders have stepped up their attacks on networking infrastructure. System administrators might deploy intrusion detection tools and systems to thwart such efforts. In recent years, the use of machine learning (ML) techniques in intrusion detection systems (IDSs) has increased. One of the most popular machine learning (ML) techniques for intrusion detection is the Support Vector Machine (SVM) due to its excellent generalization and capacity to escape the dimensionality curse. Recent studies have shown that the number of dimensions still impacts how well SVM-based intrusion detection systems work. The fact that SVM assesses all data characteristics equally has also caused some concerns. Actual intrusion detection datasets include a lot of redundant or superfluous characteristics. It would be ideal to consider feature weights while training an SVM. Knowledge Discovery in Databases (KDD) intrusion detection dataset offers labeled data for the scientists and researchers; choosing the essential features or patterns from the input dataset makes the problem more straightforward and faster and acquires much more accuracy towards threat detection. Our work demonstrates the efficiency of recognizing the essential input patterns to design a more efficient Intrusion Detection System (IDS). Consequently, removing irrelevant or unimportant inputs makes the problem of detecting a threat simpler, faster, and more accurate. It has been an essential issue in intrusion detection that features selection and ranking must be made accordingly; it is the only way to detect intrusion accurately and efficiently. We implement the procedure to remove one feature at a time to run experiments on a Support Vector Machine (SVM) to grade the significance of the features for the KDD dataset. It has been observed that SVM-based IDSs utilizing fewer features could improve and efficiently perform.
Coronavirus Detection using Deep Pre-trained Model on Chest X-ray
Imaging
Authors: Noreen Aqsa
Published: November 2022

The constant increase in the number of patients suffering from the pandemic Covid-19 has overpowered the medical management system over the world. This pandemic has affected every aspect of human life all over the world. However, the limited number of testing kits is making it more challenging to deal with the global pandemic. It is near to impossible for people to maintain social distancing all the time, and lengthy testing procedure is one of the major cause of the rapid spread of the epidemic Covid-19. The polymerase chain reaction test that is done in real-time (RT-PCR) is time-consuming for each patient with gasping disease to be tested. However, the use of a chest x-ray machine tool can accelerate testing time. X-ray machines are now accessible in almost every medical management healthcare system, with instant results. The proposed research aims to detect the pandemic. The dataset was collected from an open-source repository that consists of the chest x-ray images of patients who were Covid-19 positive, and covid-19 negative which means not infected by the pandemic coronavirus but suffering from normal pneumonia. The approach of this paper uses a deep convolutional neural network model i-e VGG16, to begin the process of classifying images into positive or negative. In the proposed research VGG16, the Deep Convolutional Network model is used, this is a pre-trained model, previously trained on the ImageNet dataset that com-prises 14M images that belong to 1K different classes. This model is fine-tuned on 1202 images. The preprocessing of collected data is done by converting it into an RGB channel and resizing it to match the requirement of our model i-e VGG16. Data augmentation is performed on the preprocessed dataset. Our proposed model gives 99.1%, 100%, and 98.59% accuracies, sensitivity specificity respectively for the detection of Covid-19 on patients’ cxr images.
A Systematic Review of Anomaly detection using Machine and Deep Learning Techniques
Authors: Natha Sarfraz
Published: November 2022

Anomaly detection identifies objects or events that do not behave as expected or correlate with other data points. Anomaly detection has been used to identify and investigate abnormal data components. Detecting anomalous activities is challenging due to insufficient data size of anomalous reality, ground training data, factors related to differences in environmental conditions, working position of capturing cameras, and illumination situations. Anomaly detection has enormous applications that include (but not limited to) industrial damage prevention, sensor network, health-care services, traffic surveillance, and violence prediction. Machine learning techniques, particularly deep learning has enabled tremendous advancements in the area of anomaly detection. In this paper, we sort out an all-inclusive review of the up-to-date research on anomaly detection techniques. We seek to serve as an extensive and comprehensive review of machine and deep learning anomaly detection techniques throughout the foregoing three years 2019-2021. Particularly, we discuss both machine learning and deep learning anomaly detection applications, performance measurements, and anomaly detection classification. We also point out various datasets that have been applied in anomaly detection along with some fairly new real-world datasets. Finally, we investigate current challenges and future research prospects in this area.
Prediction of COVID-19 Using Some Machine Learning Models and Its Comparison with a Deep Learning Model
Authors: Sodhar Anam Naz
Published: November 2022

Coronavirus (COVID-19) started from Wuhan, China in December 2019. Since then, this virus has affected millions of people around the world and has caused deaths in millions. As of right now, there is no cure or permanent treatment for this disease. It is well known that machine learning plays an important role in the health care system.
In this research, we are going to use some machine learning models such as Decision Tree (DT), logistic regression (LR), and Random Forest (RF) for the forecasting of corona virus. These models are implemented using different machine learning libraries available in Python. This work not only serves the purpose of COVID-19 predictions using machine learning, but also attempts to find out suitable model with the best features to save time and resources. Furthermore, we also compare some of the features of different machine learning models with a deep learning model (CNN). Since healthcare environment, computational resources have to be optimized, prediction models which use less computational resources are always preferred. We believe that the outcomes of this study can help understand the performance of various predictions models in the prediction of COVID-19.
Dark Embodiment: The Photographic Silhouette as Rhetorical Form
Authors: Hariman Robert
Published: November 2022

The silhouette is a visual figure that exemplifies key features of how gestures and other forms operate as means of communication. Through the reduction of information, it activates formal responsiveness including typification, resonance, and uncanny combinations of fit and enigma and embodiment and abstraction. Its communicative value is demonstrated through use as a medium for public advocacy and as a technique in photojournalism. It provides a basis for reflection on important topics in rhetoric, including authenticity, adaptation, trope, and the public
Morphology matters, or Do you need to teach affixes?
Authors: Tarasova Elizaveta , Beliaeva Natalia
Published: November 2022

The presented research investigates the role of morphological complexity (with the focus on derived forms, e.g. 'player' rather than inflected ones, e.g. 'plays', in academic writing through the analysis of written work produced by ten students over the course of their EAP studies in IPU New Zealand. The study is aimed at analyzing the relationship between the accurate use of morphologically complex vocabulary in students' written assessments and the grades that they received for their work. The quantitative analysis indicates that there is a relation between the grade and morphological derivational complexity. The qualitative analysis of individual students’ work further explores the noted trends to investigate what types of complex words are most commonly used at different levels of language proficiency. The analysis is based on Bauer and Nation’s (1993) system of seven word-family levels to establish the appropriate expectations with regard to the level of morphological awareness for learners who are preparing for undergraduate study.

The results of the analysis can be used as the basis of recommendations to EAP practitioners and EAP curriculum developers.
Congestion Avoidance using Traffic Load Balancing (CATLB) in Computer Networks
Authors: Altameemi Ahmed Malik , Nassar Khulood A
Published: November 2022

Congestion in computer networks is one of the most crucial subjects in the world of networks since it has a significant influence on the network and the quality of service and decreased efficiency of it, which frequently results in service interruptions, In order to preserve the continuity of data flow in the network, it is necessary to design approaches and processes to avoid congestion or minimize its effects. Congestion is avoided at two levels, knot and link, by using different techniques, including close loop or open loop. This paper proposed a new method (CATLB) to avoid congestion by using the traffic load balancing technique, CATLB is based on the popular algorithm Round Robin in the process of distributing packets coming to a particular node on the links connected to it, which leads to the same destination to avoid congestion on one of the links and out of service and thus leads to more load on the other links until the network collapses. Method has been simulated using OMNET++ and got around 15% improvement in the performance from the most popular similar algorithms in this field ECMP and TinyFlow.
How Much Did That Cost? A Call for Improved Transportation Cost Transparency
Authors: Swanson David , Jin Yao “Henry” , Ashenbaum Bryan
Published: November 2022

In 2021 business logistics costs in the United States were 8 percent of the nation’s GDP. However, significant discrepancies exist between aggregated transportation costs and those recorded at the firm level. Under generally accepted accounting principles (GAAP)—a standard for publicly traded companies in the United States must abide—transportation costs are generally recognized as direct expenditure on transportation services, such as when firms pay a carrier for transporting freight. On the other hand, expense items such as fuel, driver wages, leases on transportation equipment are instead broadly grouped under operating expenses despite their specific transportation purposes. In doing so, these expenses that are typically recorded internally as transportation costs are obfuscated to investors, scholars, or other users of financial statements filed along with company quarterly and annual reports. As recent supply chain disruptions due to both natural (e.g., pandemic) and manmade (e.g., foreign conflicts) causes have highlighted, there is an urgent need for various stakeholders to be able to evaluate firm logistics and transportation strategy with better salience. To that end, improved transportation cost visibility is urgently needed. Therefore, our objective is to provide a research agenda for academics to broach the subject of transportation cost transparency.
Antecedents of Spot and Contract Freight Mix in the Truckload Sector
Authors: Li Ming , Bolumole Yemisi A. , Miller Jason W.
Published: November 2022

Truckload carriers face tradeoffs in their effort to build their freight networks from combinations of spot market and contract shipments. These tradeoffs exist because contract freight provides loose volume guarantees but lower linehaul rates, whereas spot freight commands higher linehaul rates while being more stochastic in nature. The issue of carriers’ mix of spot market and contract freight, while of utmost importance in practice, has received limited theoretical and empirical attention. Drawing on dynamic transaction cost theory, we develop middle‐range theory that explains why carrier traits such as size and use of team drivers as well as characteristics of the freight markets in which they are embedded impact carriers’ reliance on spot market instead of contract freight. To test our theory, we rely on archival survey data collected by CarrierLists, a firm that specializes in compiling and disseminating motor‐carrier information. Our econometric estimates corroborate our theory and remain after robustness testing. Apart from extending theory regarding dynamic transaction costs, our findings have important implications for carriers, brokers, and shippers.
Impact Assessment of Internet Users on Chinese Railway Transportation
Authors: Li Ying , Cen Hongyi , Wu Pei‐Ying , Lin Yi‐Nuo , Chiu Yung‐ho
Published: November 2022

With a total length of 35,000 kilometers, China has the world’s largest high‐speed rail network. Due to the deepening of China’s “Internet +” strategy, new opportunities and challenges have emerged for China’s railway system. While railway transportation industry efficiency has been widely discussed, most previous studies have focused on railway transportation industry operations and have generally ignored the important influence of internet technology on the industry. Therefore, to go some way to filling this gap, this study took the number of Chinese internet users as an investment indicator and integrated big data and the Internet of Things (IoT) concepts into a dynamic directional distance function‐data envelopment analysis (DDF‐DEA) model to comprehensively measure the impact of internet technology on railway transportation industry efficiency in 31 Chinese provinces from 2011 to 2016. It was found that (1) when the internet influence was considered, the overall railway transportation industry efficiency in most regions significantly improved, with Heilongjiang Province having the largest increase; (2) the labor input, passenger traffic, freight volume, railway turnover, and freight turnover input efficiencies in most provinces were significantly higher when the internet influence was considered; and (3) the internet has had a positive impact on railway transportation.
Correlation for predicting bubble point pressure for 22.3≤°API≥45 crude oils: A white-box machine learning approach
Authors: Prince Benard Ikpabi  , Oluwatoyin Olakunle Akinsete
Published: November 2022

Bubble point pressure (BPP) is a key parameter for oil and gas reservoir identification, characterization, and management. An accurate correlation of this property with the evolving digital technology of machine learning, in the absence of experimental PVT analysis, serves as guidance in the development and recovery of reservoir fluids. In this study, a predictive BPP correlation was derived by intrinsically linearizing a nonlinear multiple regression, with the best coefficients (global minimum) extracted using White-box (Linear Regression, Ridge Regression, and Lasso Regression) Machine Learning models. The new correlation was developed, validated, and tested using 314 measured PVT data points from the Niger Delta Region. The data were subdivided into four classes: extra-light crude for API > 45, light crude for 31.1 < API ≤ 45, medium crude for 22.3 < API ≤ 31.1, and heavy crude for API ≤ 22.3. Statistical evaluation metrics such as root mean squared error, average absolute relative error, and average relative error were employed to compare the performance of the new correlation with the existing empirical ones. Results showed that the new BPP correlation developed by White-box Linear Regression outperformed the other White box (Ridge Regression and Lasso Regression) and other existing BPP empirical models. Taking advantage of emerging data-driven and machine learning as BPP predictive model is effective and efficient in reservoir fluids analysis.
Antimicrobial and cytotoxic extractives from Ficus sycomorus L. (Moraceae)
Authors: Michiren Mandou Vanini Samiyatou , Dongmo Tekapi Tsopgni Willifred , Foundikou Nsangou Mohamed , Mouthe Happi Gervais , Kamdem Waffo Alain François , Ngeufa Happi Emmanuel
Published: November 2022

Our search for antimicrobial and cytotoxic leads from Ficus sycomorus led to the isolation of twenty-four known compounds (1‒24) from its methanolic stem bark and root extracts. The structures of all the isolated compounds were established using their 1D- and 2D-NMR spectroscopic data while the crude extracts, some fractions and compounds were tested for their antibacterial, antifungal and cytotoxicity activities. In the antimicrobial assay, compound 18 displayed good to moderate activity with MIC values of 31.25 µg/ml against Escherichia coli, 125 µg/ml against Salmonella typhimurium cpc and Pseudomonas aeruginosa, while compounds 10, 13 and 14 demonstrated moderate activities on almost all the tested strains, with the highest potency observed for compound 13 on E. coli (MIC = 125 µg/ml). However, although compounds 18 and 19 gave a significant inhibition of the VERO cell line ATCC CRT-1586 with CC50 values of 52.60 µg/ml and 69.10 µg/ml, respectively, all the extract samples and other tested compounds did not show distinguishable cytotoxicity. Finally, the chemophenetic significance of the isolated compounds is discussed.
Effect of household couple counselling for male involvement on the utilization of postnatal services at 1 week in Ibanda district, Uganda; A cluster randomized community trial
Authors: Fred Norman Bagenda  , Vincent Batwala  , Christopher Garimoi Orach  , Jerome Kabakyenga  , Elizabeth Nabiwemba  , Lynn Atuyambe
Published: November 2022

Introduction: Prompt and Skilled postnatal care attendance coupled with skilled Antenatal and delivery care can drastically reduce maternal morbidity and mortality and also improve newborn outcomes. Research shows that men are decision makers in the home but they may also restrict resources, hence preventing women and children from health care seeking. But however if involved men may lead to better health care seeking behavior and better utilization of Antenatal care, delivery and postnatal care services. The postnatal care attendance at 1 week is low in Uganda, Ibanda district reported 4% in 2018. The aim of this study was to innovate, implement and document an intervention of house hold couple counseling for male involvement and compare the intervention and control clusters on the utilization of postnatal care services at 1 week. Methods: This was a two arm cluster randomized Community trial with a parallel design with the aim of comparing utilization of postnatal care services. It was carried out in two intervention parishes and two control parishes and was a superiority trial to test if the intervention of household couple counseling would improve utilization of postnatal care services. Results: The intervention arm had 200 respondents while the control had 213. The mean age was 27.3years (SD 6.8). Ninety one point five percent of mother had used skilled delivery services in the intervention compared to 78.4% in the control. Seventy Five percent attended postnatal care at 1week in the intervention as compared to 21.1% in the control (OR 11.2, P<0.001). The activity that are statistically significantly associated with utilization of postnatal services utilization is providing transport to the postnatal clinic (AOR 30.8, P<0.001) comparing the intervention and control clusters. The others included; accompanying to antenatal clinic, partner attending antenatal clinic, providing transport for delivery, escorting partner for delivery, providing psychological support during delivery and providing necessary drugs during delivery and PNC period but these were not statistically significant. Conclusion: The study demonstrated that the intervention of household couple counseling for increased male partner involvement improved significantly utilization of postnatal care services. Interventions to improve utilization of postnatal care services should focus on involving male partners to do the supportive activities which help their partners utilize the health care services.
Analisis Nilai Tambah Dan Kelayakan Pada Usaha Kopi Seduh Di Kabupaten Oku Timur
Authors: Hariyono  , Andika Sanjaya
Published: November 2022

Tujuan dari penelitian ini adalah untuk: 1) menghitung besarnya biaya, pendapatan dan penerimaan pada pelaku usaha kopi seduh di Kabupaten OKU Timur, 2) menghitung besarnya nilai tambah pada usaha kopi seduh di Kabupaten OKU Timur, 3) menganalisis kelayakan finansial pada usaha kopi seduh di Kabupaten OKU Timur. Hasil penelitian menunjukkan bahwa usaha kopi seduh di Kabupaten OKU Timur dalam satu kali proses produksi mengeluarkan biaya produksi adalah sebesar Rp 310.346 dan diperoleh penerimaan sebesar Rp 8.068.983 sehingga menghasilkan pendapatan yang diterima dalam satu kali produksi adalah sebesar Rp 230.055. Besarnya nilai tambah yang diperoleh pada usaha kopi seduh di Kabupaten OKU Timur adalah sebesar Rp 189.654/Proses dan sebesar Rp 379.308/Kg. Usaha kopi seduh di Kabupaten OKU Timur Layak (feasible) secara finansial, hal ini dapat diketahui dari perhitungan nilai NPV yaitu sebesar Rp 25.226.732, nilai IRR sebesar 9,6% dan nilai Net B/C sebesar 1,12.
Pengaruh Pengendalian Penyakit Kresek (Xanthomonas Oryzae) Pada Tanaman Padi Sawah Terhadap Pendapatan Petani Di Kecamatan Belitang OKU Timur
Authors: Didi Juhandi
Published: November 2022

Penelitian ini, bertujuan untuk mengetahui besarnya biaya produksi dan pendapatan dari pengendalian pada serangan ringan dan serangan berat yang disebakan penyakit kresek (Xanthomonas Oryzae) yang sudah dikendalikan. Penentuan lokasi contoh dilakukan secara sengaja (purvosip) dengan mempertimbangkan bahwa desa tersebut pada musim tanam 2009/2010 merupakan desa yang areal persawahannya terserang penyakit kresek (Xanthomonas Oryzae). Metode penelitian yang digunakan adalah study kasus (case study) terhadap petani yang tanaman padinya terserang penyakit kresek dengan menggunakan kuisioner dengan jumlah sampel sebanyak 30 orang. Data yang digunakan yaitu data primer dan data skunder, data primer diperoleh dari petani melalui wawancara dengan menggunakan kuisioner, data skunder diperoleh dari instansi terkait dan literatur yang dapoat menunjang penelitian. Metode analisis, dari seluruh data yang telah terkumpul dianalisis tabulasi dan analisis matematis untuk menguji hipotesis yang diajukan dalam penelitian. Hasil penelitian, biaya produksi yang dikeluarkan pada intensitas serangan ringan yaitu Rp 4.925.708,83, intensitas serangan sedang Rp 4.691.401,03 dan pada intensitas serangan berat Rp 4.472.961,37. Produksi yang dihasilkan, intensitas ringan, sedang dan berat masing-masing 3.185,90 Kg , 2.694,70 Kg, 2.484,10 Kg. Pendapatan yang diperoleh yaitu : intensitas ringan Rp 2.605.275,17, intensitas sedang Rp 1.592.458,97, intensitas berat Rp 1.173.098,63. Hasil analisis R/C Ratio, Intensitas ringan 1,53, intensitas sedang 1,34, intensitas berat 1,27. Kesimpulan, Biaya produksi yang dikelua dalam kegiatan usahatani kisarannya tidak jauh berbeda dan tinggi yaitu pada intensitas serangan ringan Rp 4.925.708,83, Pendapatan yang paling tinggi pada intensitas ringan yaitu Rp 2.605.275,17, Analisis kelayakan R/C ratio yang tinggi pada intensitas ringan yaitu 1,53, Dari semua kategori serangan sama-sama menguntungkan karena R/C Rationya lebih dari 1. Dengan sistem pengendalian penyakit kresek (Xanthomonas Oryzae) secara terpadu, optimal hasil dan maksimal untung dapat dipertahankan.