bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluating the Performance of Machine Learning Models in Cancer Prediction through ROC and PRC Metrics
Authors: N. Kalavani  , R. Naveenkumar  , Sandip Bhattacharjee  , Rubi Sharkar  , Nitin Kumar
Published: January 2025

Cancer is one of the major killers of diseases worldwide and early diagnosis has proven to be one of the best practices to help patients recover. The use of Predictive Analytic in conjunction with Machine Learning Techniques has been very promising in Healthcare, particularly in Cancer Prediction. The study tries to exhaustively examine a cancer prediction data set that would include the demographic details of a patient, their medical history, markers of genetics, and how lifestyle relates to the patient. The data set is prepared to allow the development of predictive models of identifying people who are most likely to develop any type of cancer. The data includes breast, lung, and colorectal cancers. It contains a wide variety of features, including clinical test results, imaging data, and genomics profiles, structured in such a way that would allow the insights from a variety of analyses, both supervised and unsupervised, and would look more directly into the correlations between a risk factor and cancer characteristics. Advanced machine learning algorithms, including random forests, support vector machines, and deep learning, enable researchers to build models that will predict - based on the past patterns of historical data - the probable possibility of cancer formation. This data set has immense opportunities for furthering personalized medicine, indicating individuals at risk early on for possible strategies in treatment. Moreover, the model's ability to predict the truth or accuracy, precision, recall, and other relevance metrics may be measured. The usage of this data set promotes open data use in cancer research, leading to a reduced number of cancers-related mortality and improvement of the accuracy of both prediction and early diagnosis.
Pedagogical Support and its Impact on the Performance of Students in a State of Vulnerability
Authors: Johanna del Carmen Romero Jiménez  , Sandra María Avilés Franco  , Sara Gabriela Meneses López  , José Enrique Tumbaco Gabino
Published: January 2025

This study aims to evaluate the influence of pedagogical support on the academic performance of vulnerable students of the “Abdón Calderón” School Grade Educational Unit during the period 2019-2020. Using a combination of quantitative and qualitative approach methods, information was collected through surveys of teachers and students, interviews with management, and documentary analysis. The results indicate that 85% of teachers and students believe that pedagogical support is important in academic achievement; in addition, 92% prefer individual support. However, only 54% of teachers showed they had had any training in specific strategies to help vulnerable people when speaking. This study emphasizes the need for greater professional development for teachers and proposes the implementation of pedagogical techniques and strategies that allow better guidance to promote the academic and personal development of vulnerable students.
Data-driven insights into basketball performance: Unveiling the impact of advanced analytics on player and team efficiency
Authors: Liang Zeyu , Gao Yucai , Wang Jiuyuan , Liu Zhihao
Published: January 2025

This study investigates the impact of data science on basketball performance, comparing key performance indicators (KPIs) across NCAA Division I collegiate basketball and NBA games. Using a dataset of 180 games over three seasons, the study examines metrics such as Player Efficiency Rating (PER), True Shooting Percentage (TS%), and Defensive Rating (DRtg). Machine learning algorithms, including logistic regression, decision trees, and support vector machines, were employed to predict game outcomes and evaluate the relationships between KPIs and team success. The results reveal that in collegiate basketball, elevated shooting accuracy (TS%) and defensive metrics (DRtg) are strong predictors of success, while in the NBA, PER plays a more significant role. The findings highlight the importance of integrating data-driven insights into coaching strategies and performance enhancement, with practical recommendations for teams at both competitive levels. This study fills a gap in the literature by offering a comparative analysis of basketball KPI usage in different competitive environments.
Detection method of arm force point in shot put based on ant colony algorithm
Authors: Wang Zhiteng , Zheng Junjian , Wang Lei , Jin Xiaojiao
Published: January 2025

In order to better improve the ability of shot put, an ant colony algorithm-based detection of arm force point in shot put is proposed. Firstly, integrate the ant colony algorithm theory to obtain the values of the two influencing factors of the arm force point, the special absolute strength of the upper limb and the special speed strength training of the upper limb in shot put, calculate the correlation coefficient between the absolute strength training of the upper limb and the arm force point in shot put, and obtain the correlation degree between the influencing factors of the absolute strength training of the upper limb and the arm force point in shot put, Obtain the interaction relationship between the upper limb muscle tissue and the support system, calculate the influence of the work degree of the upper limb muscle under the special speed and strength training of the upper limb on the arm force point in push and throw, give the force of the muscle group in the process of “pulling” and “pushing” shot put in the process of gradually increasing the training load of upper limb throw, and obtain the synergy effect index of the shoulder muscle group in the process of “pushing” shot put. The test model of arm force point in shot put is established. The simulation results show that the proposed detection method of arm force point in shot put based on ant colony algorithm can accurately track and monitor the throwing situation of shot putters, obtain accurate data of arm force point in shot put and optimize the technology.
The biomechanical impact of ecotourism’s role in promoting health and biodiversity conservation among tourists
Authors: Zhang Wei
Published: January 2025

The potential of ecotourism to support visitor health and biodiversity conservation is becoming more widely acknowledged. With an emphasis on the significance of biodiversity protection, this study investigates how ecotourism affects visitors’ physical and emotional health among tourists, with a specific focus on the biomechanical aspects of movement and physical activity in natural environments. Data were collected from 685 tourists who engaged in ecotourism activities at sites with significant biodiversity. Structured questionnaires were used to measure self-reported health indicators, such as mental well-being, physical activity levels, stress reduction, social bonding, and biodiversity awareness. Descriptive statistics, Pearson’s correlation, t-tests, multiple regression analysis, and analysis of variance (ANOVA) were used to analyze. to evaluate the relationships between biodiversity exposure and health outcomes. While Pearson’s correlation analyzes the degree of linear connection between factors, descriptive statistics highlight important aspects of the data. ANOVA and t-tests are used to evaluate group means; ANOVA handles a maximum of three groups, while t-tests concentrate on two. To forecast results, multiple regression analysis examines how several independent factors affect one dependent variable. The data in Statistical Package for the Social Sciences (SPSS) version 26 to investigate the connections between biodiversity exposure and health outcomes. The findings showed a strong positive relationship between exposure to biodiversity and gains in mental and physical health, underscoring the double advantages of ecotourism in raising awareness of conservation awareness and enhancing well-being. Additionally, the study underscores the importance of biomechanical factors, such as movement efficiency and physical exertion, which are enhanced through activities like hiking, kayaking, and wildlife observation in natural settings. These activities not only promote physical fitness but also contribute to mental health by reducing stress and improving mood through immersive experiences in nature. These results highlight how crucial it is to promote ecotourism as a renewable travel industry that promotes biodiversity preservation and personal well-being, integrating biomechanical principles to optimize physical activity and health outcomes.
Articulation skills of singing based on the biomechanical coordination of throat muscles
Authors: Tian Li
Published: January 2025

With the development of vocal training in music art, singing skills have been continuously explored and innovated. At present, the articulation skills of singing mostly focus on the surface operations of pronunciation skills such as tongue position, mouth shape, and lip movements, lacking the consideration of throat muscles and their coordination in clear pronunciation. In addition, everyone’s pronunciation habits are different, resulting in the low clarity of pronunciation of traditional techniques. This paper used the biomechanical model to analyze the coordination of throat muscles and proposed a systematic and scientific singing pronunciation and articulation training method. The study first built a biomechanical model of throat muscles based on Mooney-Rivlin and CAD, and introduced FEA to perform dynamic simulation on the model to simulate the mechanical behavior of muscle groups under different vocalization states. Then, it took the pharyngeal bones and muscle groups as the research objects, constructed a multi-rigid body dynamics model, and established the dynamic relationship between muscle drive and skeletal movement. Finally, the paper designed personalized singing pronunciation and clarity techniques based on CI, muscle tension distribution, etc. The experiment took 60 healthy singers as subjects, set up an experimental group and multiple control groups, and explored the effectiveness of singing articulation clarity techniques from the perspective of throat muscle biomechanics and visual coordination. The experimental results showed that the pronunciation clarity of the experimental group reached 7 points and the STOI reached 0.84, while the traditional oral resonance training group only scored 5 points and the STOI reached 0.72. The experimental results show that the singing pronunciation clarity technique based on the biomechanical coordination of throat muscles can significantly improve the singing pronunciation clarity and enhance the live listening effect of the singing.
Data mining technology for monitoring and physiological and biochemical indicators of football players in different training periods
Authors: Zhao Shijie , Wang Xueqin
Published: January 2025

In the monitoring and analysis of physiological and biochemical indicators of athletes, traditional data mining (DM) technology cannot extract compelling features and laws when processing high-dimensional and complex multivariate data, and the accuracy of the analysis results is low. The lack of real-time monitoring of the dynamically changing physiological state makes it impossible to detect athletes’ overtraining or fatigue in time, which affects the training effect and the health of athletes. This paper constructs an improved XGBoost (eXtreme Gradient Boosting) model to clean and normalize the collected physiological and biochemical data, remove outliers and fill in missing values, and construct a variable set representing the characteristics of different training periods to provide high-quality input data for subsequent model analysis. This paper combines the SHAP (SHapley Additive exPlanations) method to quantify the importance of each feature, selects the variables that contribute most to the recognition of the training state to optimize the model input, reduce the model complexity, and improve the computational efficiency. Based on the original XGBoost model, the loss function can be adjusted and the adaptive learning rate mechanism can be added to enable the model better to capture the dynamic changes of physiological and biochemical indicators and improve the prediction accuracy. Combined with the prediction results of the improved model, a real-time monitoring system was designed to track the changes in the physiological state of athletes during different training periods, and to issue an alarm when abnormal trends were detected to assist coaches in adjusting training plans. The experimental results show that in the feature evaluation, three key physiological indicators, namely blood oxygen saturation, blood lactate concentration, and heart rate, are extracted, which reduces the computational complexity of the subsequent model. In the four training stages of the basic period, load period, high-intensity period and recovery period, the loss values of the XGBoost model were approximately 0.5, 0.42, 0.4 and 0.35 respectively. In the monitoring data of 4 batches of football players, with 100 players in each batch, the accuracy rate remained above 0.83 and the response time was below 2 s. The experiment proved the effectiveness of the research model in the monitoring and analysis of physiological and biochemical indicators.
Psychological Intervention for Depression and Anxiety in Hemodialysis Patients: A Meta-Analysis
Authors: Yan Siming , Zhu Xueli , Huo Zhongcui , Wang Zhiying , Cui Huifen
Published: January 2025

Background: With the advancement of blood purification technology, there is increasing attention to the mental health of hemodialysis patients, particularly concerning depression. This study aims to determine the effect of psychological interventions on anxiety and depression in hemodialysis patients through a meta-analysis. 
Methods: A computerized search was conducted to identify randomized controlled trial (RCT) studies published in PubMed, Embase, Web of Science, ScienceDirect, and Cochrane Library databases from their inception to October 2023, focusing on the effects of psychological interventions on improving depression in hemodialysis patients. Data extraction, quality evaluation, and cross-checking were performed independently by two researchers. The methodological quality of the included studies was assessed according to the criteria recommended by the Cochrane Handbook for Systematic Reviews and the meta-analysis was performed using RevMan 5.4 software (The Nordic Cochrane Centre, Copenhagen, Denmark). The effect of psychological interventions on anxiety and depression in hemodialysis patients was determined by combining effect sizes and I2 statistics. 
Results: Fifteen studies were included, encompassing a total of 929 hemodialysis patients: 468 in the intervention group and 461 in the control group. The results indicated that psychological interventions could improve depressive moods [mean difference (MD) = –4.91, 95% confidence intervals (CI) (–6.56, –3.26), p < 0.001] and anxiety status [MD = –5.11, 95% CI (–6.97, –3.25), p < 0.001]. A subgroup analysis based on the intervention duration (more or less than 8 weeks) revealed that patients experienced significant improvements in depression and anxiety regardless of the intervention length. Additionally, subgroup analyses focusing on quality of life demonstrated that psychological interventions significantly improved the psychological aspects of patients' quality of life [MD = 7.31, 95% CI (1.06, 13.56), p = 0.001]. Sensitivity analysis, which excluded sources of heterogeneity, indicated that psychological interventions significantly enhanced both the psychological [odds ratios (OR) = 4.14, 95% CI (1.08, 7.20), p = 0.008] and physical [MD = 2.52, 95% CI (0.10, 4.95), p = 0.04] aspects of patients' quality of life. 
Conclusion: Psychological interventions can significantly alleviate depression and anxiety in hemodialysis patients and improve their quality of life. Psychotherapy holds promise as an effective method for improving depression in dialysis patients.
Repetitive Transcranial Magnetic Stimulation Combined with Ginkgo Diterpene Lactone Meglumine Injection Recover Cognitive and Neurological Functions of Patients with Acute Ischemic Stroke
Authors: Hao Mengwei , Wang Xuxia , Wei Tao , Sheng Chao
Published: January 2025

Background: Acute ischemic stroke (AIS) is a prevalent and challenging neurological condition associated with high mortality and morbidity rates. This study aimed to evaluate the therapeutic efficacy of repetitive transcranial magnetic stimulation (rTMS) combined with ginkgo diterpene lactone meglumine injection (GDLMI) on cognitive and neurological function recovery in patients with AIS. 
Methods: A total of 120 patients with AIS, admitted between January 2021 and January 2022, received rTMS combined with GDLMI after admission. Their cognitive and neurological functions were assessed using the Chinese version of the Montreal Cognitive Assessment (MoCA) and the National Institute of Health Stroke Scale (NIHSS) respectively before and after treatment. Additionally, serum levels of lipoprotein-associated phospholipase A2 (Lp-PLA2) and ischemia-modified albumin (IMA) were quantified. Statistical analyses were performed to elucidate potential correlations between Lp-PLA2 and IMA levels and clinical outcomes. 
Results: After treatment, patients with AIS exhibited significantly improved cognitive and neurological functions, increased MoCA score and decreased NIHSS score compared to those before treatment (p < 0.05). A linear correlation was observed between Lp-PLA2 and IMA levels and the recovery of cognitive function in AIS patients (r = –0.892/–0.764, p < 0.05). Before and after factor adjustment, Lp-PLA2 and IMA were identified as independent influencing factors for the efficiency in cognitive function recovery (p < 0.05). Similarly, Lp-PLA2 and IMA levels were linearly correlated with the recovery of neurological function in AIS patients (r = –0.887/–0.796, p < 0.05). Lp-PLA2 combined with IMA performed better than Lp-PLA2 or IMA alone in predicting the efficiency of rTMS plus GDLMI in promoting the cognitive and neurological function recovery (p < 0.05). 
Conclusions: rTMS combined with GDLMI can contribute to the cognitive and neurological function recovery in patients with AIS. Serum levels of Lp-PLA2 and IMA could serve as independent influencing factors for the efficiency in promoting cognitive and neurological function recovery.
Alcohol Use Disorders and Suicidal Behaviour: A Narrative Review
Authors: Lupi Matteo , Chiappini Stefania , Mosca Alessio , Miuli Andrea , Di Muzio Ilenia , Marrangone Carlotta , Piro Tommaso , Semeraro Francesco , Alfonsi Mirko , Miotti Livia , Carlucci Maria , Carano Alessandro , Di Petta Gilberto , De Berardis Domenico , Volpe Umberto , Martinotti Giovanni
Published: January 2025

Background: Alcohol Use Disorders (AUD), affective disorders, and personality disorders are among the most prevalent mental health conditions observed in individuals exhibiting suicidal behavior, encompassing both completed and attempted suicides. A robust association between AUD and suicidal behavior has been established through retrospective and prospective cohort studies. Research on the relationship between alcohol consumption and self-harm has predominantly focused on Western and high-income countries, whereas approximately one-third of the global population, including half of the world's countries, lacks accessible suicide data. This study aims to present an updated review of empirical evidence regarding the risk of suicide associated with AUD in both developed and developing nations. 
Methods: We identified published meta-analyses, reviews, systematic reviews, randomized controlled trials, clinical studies, clinical trials, controlled clinical trials, observational studies, and case reports written in English and published between January 2004 and June 2024. Our search yielded a total of 312 papers. After reviewing titles and abstracts, 232 articles were excluded from the initial records. Following full-text review of the remaining 80 articles, a qualitative synthesis was conducted, highlighting the most representative 41 papers for inclusion in this overview. 
Results: Our analysis indicates that alcohol abuse is a significant risk factor for all forms of suicidal behavior. Alcohol consumption functions as both a predisposing and precipitating factor, contributing to maladaptive behaviors in both developing and developed countries. The clinical condition is exacerbated by alcohol use, which in turn increases the risk of suicide. 
Conclusions: Further research is essential to develop targeted psychological and pharmacological interventions aimed at preventing and treating these conditions, with the goal of reducing the risk of suicidal behavior associated with AUD. In developing countries, integrating public health and clinical strategies is crucial for effectively addressing suicide prevention.
Scent as a Strategic Element of Hotel Design to enhance Guest Experience
Authors: Sirirat Sanawete , Pongsermpol Chotewit , Moorapun Chumporn
Published: January 2025

Scent has become a key marketing tool in the hotel industry, significantly enhancing the guest experience. This study investigates the impact of scent on guest perceptions and satisfaction in hotels across five regions of Thailand. Utilizing a mixed-methods approach, data were collected from 1,000 online reviews mentioning scent-related factors from 25 hotels. Thematic content analysis identified 15 scent categories, classified into Pleasant & Fresh, Natural & Woody, Luxury & Perfume, and Unpleasant Scents, followed by Chi-square tests to assess their significance.Findings show that floral and herbal scents notably boost guest satisfaction, with floral scents being prevalent in lobbies, guest rooms, and spas, while herbal scents are common in spas and wellness centers. Conversely, unpleasant odors, such as dampness and smoke, negatively impact guest experiences, particularly in hallways and bathrooms. This study highlights the importance of effective scent management in hotels to enhance guest satisfaction and encourage repeat visits.
Prophetic Hadiths on Ethics in the Digital Age
Authors: Al-Jubouri Rania Jassim Muhsin
Published: January 2025

In light of the spread of social media and its widespread use in the digital age, it has become necessary to apply Islamic morals in these spaces to ensure a respectful and safe digital environment. Through certain controls, such as abstaining post content that is offensive to others, committing to honesty and respecting different opinions, ethical values ​​can be promoted in digital interaction. Individuals also bear personal responsibility when posting content and should be good examples in online behavior. In addition to that, the religious institutions play a fundamental role in guiding individuals through awareness programs and visual content that promotes ethical behavior. Through these mechanisms, a digital environment based on Islamic morals can be achieved, which contributes to enhancing positive communication and understanding between individuals in the digital world.
Social Legislation and Its Role in Enhancing Social Development
Authors: Altaany Haitham M , Sakr Ahmed Mohi Khalaf , Abdelbary Osama , Abadel Raba'a T
Published: January 2025

Social legislation includes statutes and policies governing just about any aspect of the welfare and responsibility of individuals and groups in society and can include education, health, employment, and civil rights among others. This review aims at critically reviewing and synthesizing the literature on social legislation to advance social development: historical developments, theoretical conceptualizations, and empirical reviews of cross-national studies have been reviewed. Utilizing the systematic review approach, the present study searched for the publications across the database and had well-defined eligibility criteria. A relationship between strong/social legislation and measures of social welfare is shown; moreover, the importance of high-quality enforcement of the laws is demonstrated. Universal health care acts correlate a country or country’s people’s longevity and minimize health quality disparities. These freedom laws for education mean that compulsory schooling laws are positively related to the literacy levels of the population and raise mobility in the economy. Amendments to labor rights legislation for wages and the working environment improve employment satisfaction, bring down poverty rates, and contribute to economic security. Civil rights laws work against discrimination; reinforce the unity of the society, and encourage equality. However, challenges like insufficient funding, corruption, and cultural barriers affect the program implementation, most so in low and middle-income countries. Further suggestions include the enhancement of measures relating to enforcement, popularization of existing legislation, means’ financing, and legislation’s tailoring to regional specifics. When measured against such factors, social legislation can become a powerful lever towards social development and the building of a society based on justice.
مروری بر استفاده ‌ی غیر‌منطقی ادویه
Authors: حبیب‌یار احمدفرید
Published: January 2025

ادویه جزء جدایی‌ناپذیر سیستم عرضه خدمات صحی می‌باشند. باوجود گران بودن ادویه، قسمت عمده‌ی مصارف کلی خدمات صحی را تشکیل می‌دهد. استفاده‌ی غیر‌منطقی ادویه یک چالش بزرگ جهانی می‌باشد. متأسفانه امروزه بیش از ۵۰ فیصد تمام ادویه به‌شکل غیر‌منطقی تجویز، توزیع و به فروش می‌رسند. بیش از ۵۰ فیصد مریضان ادویه مربوطه را به‌صورت درست استفاده نمی‌نمایند. هدف از تحریر این مقاله مطالعه‌ی استفاده‌ی غیرمنطقی ادویه می‌باشد که با استفاده از آثار و منابع معتبر علمی تهیه و ترتیب گردیده است. به اساس یافته‌های ما چنین نتیجه‌گیری می‌شود که استفاده‌ی غیرمنطقی ادویه در کشورهای چون افغانستان هنوز هم جریان دارد. خوش‌بختانه دولت‌ها و سازمان‌های معتبر جهانی در خصوص کنترل آن کارهایی را انجام داده اند. اما با درنظرداشت وسعت مشکل، این همه کافی نبوده و نیاز به اقدامات بیشتر احساس می‌گردد.
مطالعه‌ی تعیین هیموگلوبین در گاوهای باردار فارم بینی‌حصار
Authors: ستانکزی نسرین , حامد اسدالله
Published: January 2025

بارداری مرحله‌یی است که مشکلات زیاد متوجه حیوان می‌شود، یکی از این مشکلات کم‌خونی در دوران بارداری می‌باشد. در هر صد ملی لیتر خون نارمل مقدار هیموگلوبین از 8-15 گرام می‌باشد. هیموگلوبین به‌حیث ماده‌ی رنگی تنفس و هم سیستم بفری داخل خون عمل می‌کند. موادی که جهت تعیین هیموگلوبین در این مطالعه مورد استفاده قرار گرفته اند؛ حیوان باردار و خون می‌باشد. گاوهای باردار در این تحقیق از نظر سن به سه گروه دسته بندی شده اند. اوسط قیمت‌های سویه‌های هیموگلوبین در این سه گروه قیمت‌های متغیر را وانمود می‌کرد. این سویه‌ها در گروه گاوهای جوان کاهش پایین‌تر را نشان می‌داد، ولی در آن‌هایی‌که سن بیشتر داشتند، اندازه‌ی کاهش بیشتر بود. بنابراین، به این نتیجه می‌رسیم که کاهش سویه‌های هیموگلوبین در گاوهای باردار با سن حیوان رابطه‌ی مستقیم دارد.
مراحل جیوپولیتیک مدرن
Authors: بشرپال محمد فواد
Published: January 2025

تفکرات جیوپولیتیکی به قرون باستان رابطه داشته و ارسطو، استرابو، بادن، مونتسکو، کانت و هیگل از جمله کسانی بودند که در این عرصه گام برداشتند. پیش‌گامان این رشته در قرن 19م شامل همبولد، گایوت، باکلی و ریتر می‌شود. بنیان گذاران جیوپولیتیک مدرن عبارت از فردریک راتزل،‌هالفرد مکیندر، کیلن، ایزایا باومن و آلفرد تایر ماهان میباشند که آثار عملی ایشان منعکس‌کننده‌ی عصر ملی‌گرایی شدید، توسعه‌طلبی دولتی و ایجاد امپراتوری در ماوراء ابحار بود؛ اصول و قوانین این تیوریسن‌ها عبارت از انعکاس دیدگاهای ملی آن‌ها بود که شدیداً تحت تأثیر داروینیزم اجتماعی قرار داشت. جیوپولیتیک مدرن در مراحل ذیل انکشاف یافته است: رقابت برای هژمونی امپریالیستی، جیوپولیتیک آلمانی، جیوپولیتیک امریکایی، جیوپولیتیک دوران جنگ سرد در مقابل جیوپولیتیک جغرافیایی جهان‌گرایانه و جیوپولیتیک دوران پس از جنگ سرد. هدف این مقاله معرفی مراحل جیوپولیتیک مدرن بوده و امید است که مورد استفاده خوانندگان عزیز قرار گیرد.
بررسی مشخصات متحولین به هم‌بسته در دیتابیس اوریکل
Authors: زرین خیل محمدشعیب , شهیدزی امیرکروړ
Published: January 2025

استفاده از متحولین در برنامه‌های کمپیوتر دارای اهمیت بوده و پروگرامرها این نوع برنامه‌ها را قادر به اجرای بهتر امور می‌سازد. در ساحه‌ی دیتابیس نیز متحولین در برنامه‌ها و پرسش‌ها به پیمانه‌ی وسیع استفاده می‌شوند. متحولین به‌هم‌بسته  مانند متحولین عام در دیتابیس‌ها به‌کار گرفته شده در بعضی موارد این نوع متحولین سرعت اجرای برنامه را بیشتر می‌سازد. یکی از مزیت‌های استفاده از متحولین به‌هم‌بسته در دیتابیس‌ها همین بالابردن سرعت اجرا می‌باشد. همین امر باعث عدم تکرار عملیه‌های مشابه در یک برنامه می‌شود. در این تحقیق یک مثال از دیتابیس اوریکل در هر دو حالت استفاده از متحولین به‌هم‌بسته و نیز عدم استفاده از متحولین یادشده با مقادیر مختلف ریکوردهای دیتا به‌صورت عملی در نظر گرفته شده است. نتایج ارائه شده و تفاوت زمان اجرا نیز در هردو حالت به‌صورت عملی نشان داده شده است.
مروری بر اساسات درمانی در طب وترنری
Authors: سادات سید شیرشاه
Published: January 2025

اساساً دوا  بمنظور وقایه، تشخیص، کاهش یا تداوی حالات بیماری به مصرف می‌رسد. در قدم نخست رمز مؤفقیت یک داکتر در یک واقعه بیماری را شناسایی عوامل در یک نوع خاص تشخیص دقیق تشکیل می‌دهد. داکتر باید تمام اساسات درمانی را که از نظر فارمکولوژی مهم است در روند درمانی تعقیب نماید. هر چند برخی عوامل دیگر بر اشکال کاربرد کلینیکی دوا در یک واقعه بیماری اثر گذار بوده و ممکن این عوامل با مشخصات واقعی دواهای قابل استفاده وابسته باشند. در حالات دیگر مصرف دواها اگر نا مرتبط هم باشد، تحت نام اساسات غیر دوایی یاد می‌گردند. در ساحه طب وترنری عملاً استفاده معقول دوا مستلزم آنست تا با روش‌های معیاری کاملاً توافق داشته‌باشند، تا از یک سو درمان مؤثر و از سوی دیگر برای صحت عامه خطر را بار نیآورده و مصؤن باشد. از اینرو جنبه‌های تنظیمی و قانونی در حیوانات مؤلد غذایی باید دقیق تر رعایت‌ گردند. در نتیجه اساسات درمانی در فارمکولوژی وترنری مهم تلقی می‌گردد.
مطالعه‌ی رویه‌های اجتماعی در گوسفند
Authors: حبیبی ایمل
Published: January 2025

در این مقاله رویه­های مختلف گوسفند مورد مطالعه قرار گرفته که عبارت اند از رویه­ی نسلگیری فصلی، شهوت، رویه­ی معاشقه و آمیزش، رویه­ی میش پیش از زایمان، رویه­ی میش در وقت زایمان، رویه­ی میش بعد از زایمان، رویه­ی بره نوزاد بعد از تولد، رویه­ی خوراکی و رویه­ی گوسفند در حالت بیماری و صحت می­باشد. گوسفند یک حیوان بی­دفاع بوده و یگانه راه دفاع آن­ها از شکارچی­ها فرار می­باشد. گوسفندان علاقمند به زنده­گی گله­ی بوده و روابط بین یگدیگر را به خوبی حفظ می­نمایند. تمایل گوسفندان به پیروی از یک رهبر به خوبی دیده شده طوری­که در جریان حرکت و چرش گوسفندان از گوسفندی که در جلوی گله قرار دارد به خوبی پیروی می­نماید. دانستن رویه­های مختلف گوسفند برای یک گوسفند­دار بسیار مهم می­باشد. زیرا در صورت دانستن رویه­های گوسفند نه به گوسفند و نه به گوسفند­دار صدمه می­رسد.
مطالعه تطبیقی الگوریتم‌های کلستربندی در زمینه‌ی دیتاکاوی تحصیلی
Authors: بهرامی احمدضیا , شهیدزی امیرکروړ
Published: January 2025

دیتاکاوی تحصیلی دیتا‌های خام سیستم‌های تحصیلی را به اطلاعات مفیدی تبدیل می­کند که به طور باالقوه می‌تواند تأثیر بیشتری بر عمل‌کرد تحقیقاتی و تحصیلی داشته باشد. بنابراین، سؤال این است که چگونه یک پوهنتون می‌تواند از قدرت این دیتا‌های تحصیلی برای استفاده استراتیژیک خود استفاده کند؟ برای یافتن پاسخ، این مقاله بر مطالعه‌ی تطبیقی الگوریتم‌های کلستربندی به عنوان کاربرد در دیتا‌کاوی تحصیلی تمرکز می­کند. روش‌های مبتنی بر پارتیشن (K-Means)، مبتنی بر چگالی (DBSCAN) و سلسله‌مراتبی (BIRCH) را مقایسه کرده است تا تعیین کند که کدام تکنیک برای انجام تحلیل‌های کلستر‌بندی در محیط تحصیلی مناسب‌تر است. مطالعات نشان می­دهد که الگوریتم K-Means مبتنی برطبقه‌بندی بهتر از الگوریتم BIRCH سلسله‌مراتبی و الگوریتم DBSCAN مبتنی بر چگالی عمل می‌کند.
بررسی عملکرد اوپراتور لاپلاسین روی تصاویر دیجیتال در حوزه مکان
Authors: هڅاند الله محمد
Published: January 2025

اوپراتور لاپلاسین به‌عنوان یک فیلتر روی تصاویر دیجیتال اعمال می‌شود. فیلترهای که به اساس لاپلاسین طراحی می‌شوند در بهبود تصاویر دیجیتال کاربرد دارد. از ویژگی‌های این فیلترها برای بهبود تصاویر دیجیتال جهت روشن کردن تصویر، بدست آوردن جزئیات کوچک تصویر و بدست آوردن لبه‌ها می‌توان اشاره کرد. لاپلاسین یک اوپراتور خطی است بناءً پیاده‌سازی این فیلترها آسان و در حوزه مکان روی تصاویر اعمال می‌شود. می‌توان برای فیلترگذاری غیرخطی هم از این فیلترها استفاده کرد. چون بازده روش‌های پردازش مکانی از نظر محاسباتی بالا است و پیاده‌سازی آن‌ها نیاز به منابع پردازش کننده کمتری دارند بناءً فیلتر‌های مبتنی بر لاپلاسین از نظر محاسبه و پردازش برای دستگاهای الکترونیکی به‌صرفه است. در این مقاله، به اساس لاپلاسین فیلترهای خطی مکانی طراحی گردیده و با استفاده از نرم‌افزار متلب روی تصاویر مختلف پیاده‌سازی شده است. نتایج بدست آمده عملکرد خوب فیلترهای مبتنی بر لاپلاسین و تصاویر بهبودیافته را نشان می‌دهد.
بررسی تخنیکی و ارزیابی مقایسوی به‌منظور بهترین انتخاب تکنولوژی جهت تولید برق از زباله در شهر کابل
Authors: محسنی محمدشعیب , رحمانی نثاراحمد
Published: January 2025

هدف این تحقیق دریافت نمودن بهترین روش برای مدیریت زباله­های شهری در پایتخت کشور شهرکابل می‎باشد. انکشاف شهری و افزایش دوامدار نفوس در شهرکابل سبب ازدیاد زباله­های شهری گردیده که بر اساس آمار سال ۲۰۱۸ به­طور اوسط۳،۰۵۰ تن زباله در یک شبانه­روز تولید می‏شود. در این تحقیق ابتدا بحث بالای روش‏های موثر استحصال انرژی از زباله­ها و آشنایی با خصوصیات و مشخصات مربوط به هر روش سوق داده می‏شود. در اخیر با درنظرداشت ویژگی­های اجتماعی و فرهنگی شهروندان کابل و مطالعات امکان سنجی، تکنولوژی مناسب جهت مدیریت زباله مورد توجه و بررسی قرار گرفته است. نتایج تحقیق نشان دهنده این است که استفاده از میتود زباله سوزی(Incineration of Waste) از کارایی خوبتری برخوردار خواهد بود و ساخت دستگاه زباله­سوز، راه حل مناسب برای مدیریت زباله­های جامد شهری در کابل می‎باشد.
تعیین و مطالعه مسامات خاک با استفاده ازقانون ریچارد
Authors: شمال شکیب , رسولی حفیظ الله
Published: January 2025

تعیین مسامات خاک یک بخش مهم خاکشناسی در جیولوجی بوده، و نقش مهم برای دریافت خصوصیات آبهای زیر زمینی دارد.  در مجموع مسامات خاک در لیتولوجی احجار راسبه و ترسبات متنوع با سایز ذرات ارتباط مستقیم دارد، یعنی به هر اندازه که سایز ذرات بزرګ ګردد، در مقابل مسامات نیزبزرګترمیګردد ، اما در مقابل تعداد مسامات کاهش می یابد. درحالیکه به هر اندازه یکه ذرات کوچکتر میشوند، در مقابل تعداد مسامات بیشتر ګردیده و سایز آن کوچکتر میګردد. همچنان به هر پیمانه که سایز ذرات بزرګتر و متجانس باشد، قابلیت نفوذپذیری آنها بیشتر میګردد. ولی به هر پیمانه که سایز ذرات کوچکتر و غیر متجانس باشد، در مقابل قابلیت نفوذپذیری کمتر میشود. این تحقیق برای تعیین نفوذپذیری خاک در بخش های جیولوجی، انجنیری و زراعت قابل استفاده می باشد.
Legal Aspects Related To Information Security In E-Commerce
Authors: Sutawijaya Darmawan
Published: January 2025

Legal protection concerning information security and personal data in Indonesia continues to evolve. While regulations such as the Electronic Information and Transactions Law (UU ITE) and Personal Data Protection regulations exist, their enforcement and effectiveness are still limited. Weak law enforcement, coupled with low public awareness, pose significant challenges to protecting e-commerce consumers. Additionally, the rapid advancement of technology often outpaces regulatory adjustments, creating a gap in ensuring comprehensive information security. This study employs a normative legal method, utilizing secondary data analysis from legal documents and relevant literature. The findings indicate that while a solid legal framework is in place, the implementation remains insufficient. To address this, adaptive regulatory updates, increased supervision, and enhanced law enforcement are imperative. Furthermore, collaboration between the government, industry stakeholders, civil society, and educational initiatives are crucial in promoting consumer awareness and safeguarding personal data. This holistic approach aims to strengthen legal protection for information security in the e-commerce sector, fostering a safer and more secure digital environment.
Mapping rice and wheat crops in Egypt’s Nile Delta using Sentinel-2 from 2018 to 2022
Authors:   Global Change Unit, Image Processing Laboratory, University of Valencia, Spain, Guerrero Benavent César J. , Franch Belen ,   Global Change Unit, Image Processing Laboratory, University of Valencia, Spain,   Dept of Geographical Sciencies, Univesity of Maryland, College Park MD, United States, Soria Guillem ,   Global Change Unit, Image Processing Laboratory, University of Valencia, Spain, Moletto-Lobos Italo ,   Global Change Unit, Image Processing Laboratory, University of Valencia, Spain, Tarin Javier ,   Global Change Unit, Image Processing Laboratory, University of Valencia, Spain, Cyran Kate ,   Global Change Unit, Image Processing Laboratory, University of Valencia, Spain
Published: January 2025

Mapping crop types is vital for quantifying cultivated areas and supports agricultural statistics, land use analysis, and crop yield predictions. This study focuses on creating accurate rice and wheat crop type masks in Egypt’s Nile Delta, specifically in the Gharbia governorate, from 2018 to 2022, in the context of EO Africa initiative. Crop type maps for both, summer and winter seasons were developed using a Random Forest method. A set of ground truth points for each year, majorly of rice and wheat but also a few of onion, maize, clover, citrus and grape crops were filtered and completed analytically to be used as training and test data. To face imbalance, Synthetic Minority Oversampling Technique (SMOTE) method was also applied, generating synthetic data of the non-interest crops. The masking method consisted in extracting the spectral information of these points for all the selected cloud-masked Sentinel-2 images of the season. This information was stacked, obtaining several features equal to the number of spectral bands per number of images of the season considered. This set was optimized through a PCA analysis applied over the spectral bands, reducing the number of features to the 25-30 first components. For each image, also different vegetation and water indices (NDVI, DVI, SAVI, NDWI, AWEI, EVI) were computed and stacked to the previous set to conform the final features space, reducing dimensionality and showing the best results compared with the application of PCA to the complet set (bands and indices). This process was applied to each season, obtaining an accuracy between 0.85 and 0.95 and consistent commission and omission errors, meaning balanced estimations. From the final classification map, rice and wheat classes were extracted, obtaining preliminary masks. Finally, isolated pixels were removed, and possible detection holes were covered with the use of morphology techniques (opening and closing), obtaining final operational masks.
Global trends as a component of successful meso-level economic development strategies
Authors: Avramenko Taras , Hushko Serhii
Published: January 2025

The meso-level is important in the management of the economic processes of the country, then it allows to ensure the specifics of the development of individual territories and to adapt the general strategies of state management to local conditions. The method of work is the study of world trends, as complex successful strategies of economic development at the meso level. In the course of the conducted research, the author applied a whole complex of general and special scientific methods in order to achieve the set goal. which, the methodological basis of the work is the method of generalization, the method of systematization, the method of analysis and synthesis, methods of comparative analysis, system-structural analysis. It has been established that the meso-level ensures the effective implementation of state programs at the local level and stimulates innovative development, increasing the overall productivity and vitality of the region. It is noted that the economic development of mesoeconomic systems depends on various factors, in particular: legal, social, political, which promote and limit one and ultimately lead to the establishment of a high degree of uncertainty. The legal factor in the development of mesoeconomic systems is the right of legislative state bodies to adopt normative legal acts that apply the territorial structure of the country, organizational forms of mesosystems. The social factor of the development of mesoeconomic systems reflects the process of formation and development of social strata of the region's population. The political factor of the development of the mesoeconomic system is a component for determining the influence of various subjects of the mesoeconomic system on the macroeconomic policy of the state. The main modern world trends, which play an important role in the formation of successful economic development strategies at the meso level, are considered, in particular, digitalization, circular economy, "green" investment, participation in global added value chains, consideration of migration trends and human capital, decentralization, use of new financial resources. technologies, public-private partnership.
Cloud cost monitoring and forecasting: issues and challenges
Authors: Shokotko Liudmyla , Suprun Anatolii , Petrishyna Tetiana , Pavlysh Tetiana
Published: January 2025

Cloud platforms are revolutionizing big data processing, but they also present significant challenges, particularly in cost management. As organizations move from on-premises solutions to cloud-based infrastructures, they often face unexpected costs due to the increasing volumes of structured, semi-structured, and unstructured data they collect and consume. Overcoming this challenge requires a thorough understanding of cost drivers, effective financial management practices, and strategic planning. This article examines the factors that influence the cost of cloud-based data processing and explores financial management best practices that maximize return on investment. It emphasizes the importance of adopting cost optimization strategies tailored to the unique needs of organizations operating in different industries. In addition to financial considerations, the article examines how cloud platforms enable marketing transformation through campaign automation, enhanced analytics, and personalization of the customer experience. These capabilities not only improve operational efficiency, but also drive greater customer engagement and loyalty. The research evaluates the challenges and opportunities associated with cost optimization in cloud systems. It highlights types of forecasts, optimization processes, and monitoring methods as critical components of achieving financial efficiency. A comprehensive three-step approach to effective financial management is proposed, focusing on understanding, controlling, and optimizing costs. In addition, the article evaluates the tools and solutions offered by cloud service providers, providing actionable insights for organizations to gain better control over their expenses. By integrating perspectives from both the financial and marketing dimensions, the study demonstrates how cloud-based systems can serve as a cornerstone for business innovation and growth. It concludes with practical recommendations for leveraging cloud platforms to improve operational and marketing efficiency while maintaining cost transparency and predictability.
Impacto en el cumplimiento de las reformas tributarias en las PYMES de la parroquia El Carmen, cantón La Maná
Authors: Quille Iza Mirian Anabel
Published: January 2025

Esta investigación analiza el impacto de las reformas tributarias en las PYMES de la parroquia El Carmen, cantón La Maná, con énfasis en la implementación del Régimen Simplificado para Emprendedores y Negocios Populares (RIMPE). Mediante un enfoque cuantitativo descriptivo-correlacional, se aplicó un cuestionario estructurado a 61 PYMES activas, evaluando cinco dimensiones clave: cultura tributaria, cumplimiento normativo, impacto de reformas, conocimiento tributario y sostenibilidad del sistema. Los resultados revelan un nivel moderado de cultura tributaria (M=3.67) en contraste con una menor capacidad de implementación práctica (M=3.25). La implementación del RIMPE muestra un impacto mixto, con mejoras en la facilitación del cumplimiento (M=3.51) pero generando preocupaciones sobre costos operativos (M=3.45). La dimensión de capacitación emerge como área crítica, con una puntuación moderada (M=3.34) y alta variabilidad (DE=0.92), indicando distribución desigual de recursos educativos. La sostenibilidad del sistema tributario presenta los valores más bajos (M=3.29), sugiriendo preocupaciones sobre la viabilidad a largo plazo. El estudio concluye que, si bien las reformas han logrado avances en la modernización del sistema fiscal, persisten desafíos significativos que requieren un enfoque más integral, que combine simplificación administrativa con programas de capacitación fortalecidos y apoyo técnico adaptado a las necesidades específicas de las PYMES rurales.
Análisis de Políticas, estrategias y acciones específicas para promover la adopción y expansión de la generación distribuida fotovoltaica en la provincia de Cotopaxi
Authors: Camino Corrales Rocky Ronaldo
Published: January 2025

Este estudio analizó las políticas, estrategias y acciones específicas necesarias para promover la adopción y expansión de la generación distribuida fotovoltaica (GD-FV) en la provincia de Cotopaxi, Ecuador. Se evaluaron cinco escenarios principales de implementación de políticas energéticas: Base, Tarifa de alimentación, Medición Neta, Incentivos Fiscales y un Esquema Mixto. Los resultados mostraron que el Esquema Mixto, al integrar múltiples incentivos, fue el más efectivo, alcanzando un costo nivelado de energía (Levelized Cost of Energy, LCOE) competitivo y un retorno económico favorable. El análisis de sensibilidad destacó el impacto del costo de los paneles solares, la tarifa eléctrica y la radiación solar sobre la viabilidad de los proyectos. Además, se evidenció que la incorporación de sistemas de almacenamiento energético mejoró la estabilidad y eficiencia operativa de los sistemas fotovoltaicos. Los datos de irradiación solar confirmaron un alto potencial para la generación distribuida en los cantones de Cotopaxi, mientras que los beneficios socioeconómicos, como la generación de empleo y la reducción de emisiones de CO2, subrayaron la importancia de esta tecnología para el desarrollo sostenible. Finalmente, se concluyó que un marco regulatorio claro y adaptado es fundamental para garantizar el éxito de la GD-FV en la región.
Soldadura de Alta resistencia, Desafíos y Avances en Materiales y Procesos
Authors: Morales Tamayo Yoandrys
Published: January 2025

Se analizaron diferentes procesos de soldadura para materiales de alta resistencia, centrándose en GMAW, GTAW, Soldadura Láser Híbrida y Soldadura por Fricción-Agitación (FSW). Los resultados mostraron que el proceso FSW mantuvo hasta el 95% de la resistencia del material base, superando a los procesos convencionales que alcanzaron entre 85-90%. El análisis microestructural reveló un tamaño de grano más refinado en la zona afectada térmicamente para FSW (20 μm) en comparación con GMAW (35 μm). La evaluación de defectos demostró que FSW presentó la menor incidencia de discontinuidades, con tasas de porosidad inferiores al 0.5%. Los ensayos de impacto Charpy a -40°C evidenciaron un comportamiento superior del FSW, con una energía absorbida 25% mayor que GMAW y GTAW. La soldadura láser híbrida demostró ser una alternativa eficiente cuando se requiere alta productividad. El estudio concluyó que la selección del proceso de soldadura para materiales de alta resistencia debe considerar no solo las propiedades mecánicas resultantes, sino también factores como la productividad, los requisitos de calidad y las consideraciones económicas.