bluuebunny/crossref_metadata_2025 huggingface dataset:
High Prevalence of Metabolic Syndrome among Female Vegetable Market Traders in Hargeisa, Somaliland: Risk Factors and Implications
Authors: Mohamoud Fosia , Kwena Arthur , Nyamwange Caleb , Maiyoh Geoffrey
Published: October 2024

Background: Metabolic syndrome, characterized by abdominal obesity and two or more of the following components (fasting blood glucose ≥100 mg/dL, low HDL-cholesterol, high triglycerides, and hypertension), is a common cause of morbidity and mortality. In Somaliland, female vegetable market vendors, who often sit for long hours, face an elevated risk.Aims: This study aims to assess the prevalence and associated factors of metabolic syndrome in this population.Methods: Conducted from December 2020 to April 2021 in Hargeisa’s vegetable markets, this cross-sectional study recruited 291 women using stratified convenience random sampling. Structured questionnaires collected socio-demographic data, while fasting blood samples provided information on blood sugar, triglycerides, and high-density lipoprotein levels. Descriptive statistics and logistic regression were used for analysis.Results: A total of 291 women, aged 21-80 years (mean age 45.3 (12.3) years, participated. The prevalence of metabolic syndrome was 71.8%, significantly higher than global averages. High waist circumference (87.9%, P = 0.00) was the most prevalent component, suggesting unique dietary or lifestyle factors. Notably, no significant association was found between marital status and metabolic syndrome (P = 0.41), contrasting with findings from other regions. Approximately 45% of participants had two components of metabolic syndrome, 40% had three components, and 15% had four components, respectively, indicating a distinct pattern of component distribution.Conclusions: This study found a high prevalence of metabolic syndrome (71.8%) in this population. Key risk factors included older age, high BMI, and increased waist-to-hip ratio, highlighting the need for targeted health interventions and education for this specific occupational group.
Il Tribunale Speciale per la Difesa dello Stato tra diritto e propaganda: il 'caso Donati' nella stampa quotidiana
Authors: Bassani Alessandra
Published: October 2024

Il saggio esplora le modalità attraverso le quali i processi celebrati dal Tribunale Speciale per la Difesa dello Stato venivano divulgati dai giornali attraverso lo studio di un caso: un processo per duplice omicidio celebrato al Ravenna nell’aprile del 1930. Il caso Donati presenta alcune particolarità: si tratta di un reato comune, attratto nella competenza del Tribunale Speciale attraverso l’applicazione dell’art. 4 della legge 2008/26 che vietava l’appartenenza ai partiti disciolti, e il processo venne celebrato nel luogo di commissione del reato. L’idea che si vorrebbe verificare, tramite un allargamento della ricerca ad altri casi trattati dal Tribunale Speciale, è che questo organo, in quanto pilastro dell’architettura costituzionale del fascismo, agisse non solo come organo giurisdizionale ma anche come ingranaggio della macchina propagandistica del fascismo, e che la stampa utilizzasse i casi gestiti dal Tribunale Speciale per creare una ‘narrazione’ che veicolasse i miti necessari a costruire la comunità nazionale.
Insufficienza di prove e stereotipi di genere. Per un’indagine sulle prassi giudiziarie in tema di violenza sessuale negli anni Settanta del Novecento
Authors: Bianchi Riva Raffaella
Published: October 2024

La maggior parte dei processi per violenza sessuale si fonda sulle dichiarazioni della vittima, che entrano nel processo attraverso la testimonianza della persona offesa. La loro valutazione è, dunque, essenziale per l’accertamento del reato. Su tale valutazione possono, tuttavia, influire stereotipi di genere che tendono a colpevolizzare le vittime e che spesso le inducono a rinunciare alla tutela legale, con gravi effetti anche sulla fiducia dei cittadini nell’amministrazione della giustizia.L’indagine condotta sulla giurisprudenza del tribunale di Como in materia di violenza carnale (art. 519 c.p. 1930) e atti di libidine violenti (art. 521 c.p. 1930) negli anni Settanta del Novecento dimostra non solo che i tradizionali pregiudizi sessisti influirono sovente sulla valutazione dei giudici, impedendo di accertare la colpevolezza degli imputati, ma anche che il ricorso ad essi fu favorito dall’intrinseca difficoltà di accertamento di tali reati.Sotto il vigore del codice di procedura penale Rocco, i giudici fecero ampio ricorso all’assoluzione per insufficienza di prove, nonostante le raccomandazioni della Corte di cassazione di interpretare la norma restrittivamente. Se, da un lato, l’utilizzo della formula dubitativa anziché di quella piena rifletteva la difficoltà di accertare in concreto i fatti nei processi per stupro, dall’altro consentiva di attribuire una seppur minima rilevanza alle dichiarazioni della parte offesa. In ogni caso, tale soluzione si risolveva in una mancanza di tutela sia per la vittima, che nel processo non otteneva giustizia sia per l’imputato, che, a causa dell’ambigua disciplina del proscioglimento per insufficienza di prove, continuava a subire conseguenze (giuridiche e sociali) negative anche dopo la chiusura del processo.
Brève histoire du principe de précaution
Authors: Descamps Olivier
Published: October 2024

Le principe de précaution a acquis une place déterminante dans les ordres juridiques nationaux et dans le droit international. Il s’agit d’un principe d’action qui ne vise plus la prévention d’un risque connu avec une certitude scientifique avérée mais la précaution pour un risque inconnu et dont on ne peut même pas évaluer la probabilité avec des conséquences incommensurables. D’abord principe moral, il est devenu un principe juridique en étant consacré dans les textes internationaux, européens et nationaux. Son domaine initial d’application relatif à l’environnement s’est ensuite étendu à la santé et aux nouvelles technologies. Dans cet article, il s’agit de retracer une brève histoire de sa naissance et de son développement dans une perspective juridico-comparative.
L'età tradita. Adolescenza violata e giustizia penale fra XIX e XX secolo
Authors: Fusar Poli Elisabetta
Published: October 2024

Nel presente saggio, il nesso fra diritto e morale nella sua dimensione più pervasiva, ovvero quella sessuale, è affrontato attraverso le lenti della giustizia penale e dei reati contro la sfera sessuale della persona. Protagonista dell’analisi è la ‘tipica’ vittima, la giovane ‘adolescente’, che riunisce in sé plurimi elementi di fragilità, legati a un’età critica e misconosciuta (l’adolescenza) e al genere, e in larga parte alimentati da stereotipi e pregiudizi che la giurisprudenza fra Otto e Novecento svela. In particolare l’età, si dimostra un assai utile dispositivo d’analisi: esso consente di interrogare le fonti introducendo un peculiare regime temporale che, ancorato al tempo della persona, differentemente interagisce (e reagisce) con i tempi della storia anche del diritto.
“Il giuoco della tombola”. La complicità corrispettiva: una polemica penalistica di fine Ottocento
Authors: Isotton Roberto
Published: October 2024

Il saggio ricostruisce la polemica dottrinale relativa a una disposizione del Codice Zanardelli (art. 378) che disciplina una particolare forma di compartecipazione criminosa: la complicità corrispettiva. Apparentemente classificabile come l’ennesimo episodio della contesa scientifica che ha diviso i penalisti di orientamento liberale (ispiratori del codice) e gli esponenti del nuovo approccio positivistico al diritto penale, la vicenda presenta alcuni aspetti di originalità: da un lato, infatti, anche alcuni giuristi direttamente impegnati nell’opera di codificazione condividono le perplessità intorno alla norma; d’altro canto, le critiche rivolte da un giovane esponente del positivismo penale, Scipio Sighele, non sono formulate secondo i precetti del proprio schieramento scientifico, ma sono ispirate ai principii di garanzia che avrebbero dovuto guidare l’opera del legislatore. Nonostante questo singolare incrocio, l’“inutile e ingiusto” art. 378 resterà infine nell’ordinamento, ma darà origine a non poche difficoltà interpretative, che impegneranno i giuristi lungo tutta la vigenza del codice.
Die Flucht als Beweis: zwischen Schuldvermutung und Naturrecht
Authors: Schmoeckel Mathias
Published: October 2024

Die Flucht vor ungerechter Inhaftierung und Folter wurde in der Rechtsgeschichte nur selten als schlaue Rettung des eigenen Lebens gesehen. Trotz Matthäus 10.23 durften Christen nicht fliehen, wenn ihr Glaube deswegen als schwach angesehen wurde. Im Ius Commune wurde die Flucht als ein Indiz angesehen, das schon fast wie ein Eingeständnis der Schuld wirkte. Spanische Juristen versuchten, das Zugriffsrecht des Monarchen auf Leib und Leben des Inhaftierten zu bestimmen. Spät erst entstanden naturrechtlich begründete Lehren, wonach man sich retten dürfe. Dies ist bis heute nicht allgemein zugestanden.
The discovery of osimertinib (AZD9291) for the treatment of lung cancer and its chemistry
Authors: Li Victor
Published: October 2024

Inhibitors of the epidermal growth factor receptor (EGFR) have been approved as drugs to treat patients with non-small-cell lung cancer (NSCLC). While these medications exhibit good clinical efficacy, a lot of patients acquire treatment resistance due to T790M mutation, causing the disease to advance. Furthermore, these medicines may hit the EGFR wild-type receptor, leading to adverse effects. In this publication, we present the discovery of the medication osimertinib (AZD9291), a mutant-selective agent. The T790M resistant mutant and EGFR sensitizing (or activating, EGFRm+) mutant are both irreversibly inhibited. In addition, it possesses high selectivity to the receptor's wild-type form.
How does fasting effect peoples body health and longevity
Authors: Wang Yuxin
Published: October 2024

Many people are losing weight, but many are doing it incorrectly. Based on some adverse effects of body image, many people have started to lose weight. Now that weight loss is widespread, it is also vital to research ways to lose weight. This paper talks about how fasting affects the mices longevity and how fasting enables us to lose weight. The study shows that increasing fasting frequency can improve the health and survival of male mice. This research has found that increased fasting frequency can enhance the health and survival of male mice. Consequently, fasting may affect human longevity to a certain extent and wont hurt peoples bodies if people use it correctly. In the future, researchers can do more research on how fasting affects human longevity. Although, nowadays, people can find that fasting may have some effect on human longevity, it is not mature, and people should research more deeply and know how the fasting results.
HPV co-infection in HIV-positive individuals: Epidemiological trends and public health implications
Authors: Fang Qimin
Published: October 2024

This paper examines the epidemiological trends, influencing factors and potential public health implications of HPV co-infection in HIV-infected people. The incidence of HPV co-infection in HIV-infected people is relatively high, which is influenced by multiple factors such as immunosuppression, sexual risk and treatment history. HPV co-infection clearly increases the risk of related cancers such as cervical cancer, highlighting the importance of timely HPV screening and cervical cancer prevention. The use of HPV vaccines in people with HIV has potential value, but more research is needed to support it. HAART treatment plays a positive role in reducing the risk of HPV co-infection and improving quality of life. However, research still faces some limitations, and further in-depth research is needed to explore the impact of HPV sub-types, the effectiveness of HPV vaccines in people with HIV, and best screening and treatment practices. In conclusion, HPV co-infection in people living with HIV is a complex problem that requires comprehensive interventions and collaboration to improve patient quality of life and reduce associated cancer risk.
Heartworm disease in canines
Authors: Ye Hanyang
Published: October 2024

Heartworm disease is a parasitic disease caused by Dirofilaria immitis that affects the pulmonary arteries in canines, causing circulatory disturbances and breathing difficulties. The disease is transmitted through mosquito bites and the worms mature in the heart, lungs, and associated blood vessels of canines. Wolbachia, an endosymbiont bacteria present in D. immitis, triggers the canine immune response leading to acute and chronic inflammation in the heart and lung vasculature. The primary lesions in pulmonary arteries and lung parenchyma, along with the proliferation of the worms, result in severe pulmonary hypertension and congestive heart failure if left untreated. Though dogs of any age, breed, or sex may be affected, the disease is rare in dogs less than one year of age due to the time required for larval maturation into adult heartworms.
The approaches and challenges in delivery CRISPR/Cas9
Authors: Zhang Zhirui
Published: October 2024

A significant technological advance, grouped regularly separated short palindromic repeats/CRISPR-associated protein 9 genome editing program has revolutionized genetic modification for precision medicine and therapeutic and diagnostic applications. Furthermore, efficient transport of the CRISPR elements is necessary for the successful application of this type of gene editing for therapeutics. However, there are considerable challenges associated with delivering CRISPR/Cas9 to the target. The CRISPR/Cas9 gene editing system's molecular mechanisms, current delivery strategies, and the various CRISPR/Cas9 delivery vehicles, including non-viral delivery methods like microinjection and electroporation and this review will address virus transmission strategies such as adeno-associated virus (AAV) and CRISPR-Phage, as well as a discussion of their specific advantages. At last, we discuss major obstacles to CRISPR/Cas9 efficacy that must be solved before successful human gene therapy may be achieved.
Predicting heart disease risk using machine learning: A comparative study of multiple algorithms
Authors: Wang Tao
Published: October 2024

Heart disease has consistently ranked among the leading causes of morbidity and mortality globally, causing millions of deaths every year, but early diagnosis and medical intervention are considered effective ways to treat heart disease. Therefore, constructing predictive models through data analysis and machine learning algorithms that significantly improve the accuracy of early diagnosis and medical intervention could potentially save millions of lives. Using Kamil Pytlaks dataset from Kaggle, which was originally derived from the 2020 annual CDC survey, this study explores the application of six common machine learning techniques in predicting heart disease. It focuses on data preprocessing, balancing the dataset via undersampling, and feature selection, narrowing down to 8 key risk factors from 17. Among the modelsLogistic Regression, LDA, QDA, Boosted Tree, Random Forest, and K Nearest NeighborsLogistic Regression outperformed others with a 74.6% accuracy and an 82.3% AUC. Despite the challenges in prediction accuracy, the results underline the significant potential of machine learning in early diagnosis and intervention, indicating a promising direction for enhancing public health management strategies against heart disease.
Analysis of the advantages and sustainability of digital breast tomosynthesis
Authors: Ding Jingyi
Published: October 2024

Digital breast tomosynthesis (DBT) plays an important role in medical imaging, especially in breast cancer screening and diagnosis. This article delves into the distinctive features of DBT, which surpass traditional 2D mammography in both sensitivity and specificity, resulting in clearer and more accurate breast imaging, thus improving breast cancer's detection rate and diagnostic accuracy. Despite these advantages, DBT faces limitations, including heightened radiation exposure, increased cost, and image processing and interpretation complexities.This article, drawing from theoretical frameworks and case studies, uncovers the potential of emerging technologies like deep learning to improve the reconstruction of two-dimensional images, bolster the progression of DBT, and drive advancements in breast screening technology. Through the combination of deep learning technology and DBT 3D data, future research can be dedicated to generating more accurate 2D images, thus further improving the efficiency and accuracy of breast cancer screening. Meanwhile, the introduction of the DCGNN model is anticipated to revolutionize deep feature extraction specifically for DBT-s2D image data, potentially leading to significant breakthroughs in this field.
Research on the analysis of training methods in the sport of swimming
Authors: Lin Hongxi
Published: October 2024

Strength qualities are fundamental to the development of various physical qualities. Targeted land-based training based on the specific needs of the sport of swimming can contribute well to an athletes underwater performance. Strength training combined with land and water can effectively improve athletes core stability and short-distance swimming performance. This article aims to discuss in depth the comprehensive optimization of physical fitness in swimming training, focusing on the dialectical relationship between fast and slow movements and the integration of functional movements. The article adopts the methods of literature review and comparative analysis to systematically sort out and theoretically analyze the existing researches, and proposes the optimization strategies of fast movement, slow movement, and functional movement in swimming training. Although the existing methods are effective in improving physical fitness, they lack in-depth consideration of individual differences. The paper suggests that the limited training effect of fast and slow movements may be related to the over-generalization of training, and therefore suggests the introduction of more specialized functional movements, and emphasizes the focus on diet.
Research on the preparation of water-soluble plant sterol derivatives
Authors: Xiang Qihang , Mo Jiatong , Chen Biqiang
Published: October 2024

Phytosterol is a kind of natural bioactive substance that has the functions of lipid-lowering, anti-oxidation, and anti-tumor. However, due to its water solubility, poor dispersion, and very low absorption efficiency, natural plant sterols have severely restricted their application in food processing. This study aims to improve the water solubility of phytosterols in food by modifying them, to expand the possibility of their application in food, medicine, and cosmetics. Phytosterol derivatives with good water solubility were successfully synthesized by using acid-functionalized ionic liquid and PEG with different molecular weights as catalysts and hydrophilic modifiers. The high-purity product was obtained by chemical reaction, separation, and purification. The structure of the product was characterized by thin-layer chromatography, high-performance liquid chromatography, and infrared spectroscopy. The results showed that the phytosterol derivatives prepared by optimized synthesis conditions and purification methods had good water solubility, which provided a new possibility for its application in drug development, food additives, and cosmetics. However, there are still some challenges and problems in the research, and it is necessary to further optimize the experimental conditions and the biological activity of the research products to promote the in-depth development of the field. Through this study, we have made a preliminary exploration for the development of related fields and provided a reference for future research.
Effect of straw and rainfall on Amaranthus hybridus control with Imazethapyr + Flumioxazin
Authors: Garcia Victor Volante , Silva Marcelo Augusto de Aguiar e , Dalazen Giliardi
Published: October 2024

The use of herbicides applied at pre-emergence is an important measure for managing Amaranthus hybridus. However, the presence of straw and rainfall regime after application may alter the efficacy of these herbicides. This study was carried out with the objective of evaluating the effect of different straw mass on the soil surface and different rainfall regimes on the efficacy of imazethapyr + flumioxazin in controlling Amaranthus hybridus. Three greenhouse experiments were conducted and replicated for two years. Experiment 1 consisted of five Brachiaria humidicola straw mass (0, 2, 4, 6 and 8 Mg ha-1) with 20 mm rainfall simulation after herbicide application; in experiment 2, six times to the first rainfall (0, 3, 6, 9, 12 and 15 days) after herbicide application were assessed; and experiment 3 involved four rainfall volumes (0, 10, 30 and 50 mm) after herbicide application. The presence of straw did not alter the efficacy of imazethapyr + flumioxazin, even at the highest mass assessed (8 Mg ha-1) and rainfall of 20 mm. In the absence of herbicide, the highest B. humidicola weight reduced emergence of A. hybridus by 63% when compared to the straw-free treatment. The herbicide imazethapyr + flumioxazin demonstrated flexibility in response to rainfall regime, with total control of A. hybridus even after15 days of drought and up to 50 mm of rain after spraying. The herbicide imazethapyr + flumioxazin was effective against A. hybridus in all straw and rainfall situations evaluated.
Defoliation patterns on a mixture pasture of forage sorghum and Alexandergrass
Authors: Rodrigues Dinah Pereira Abbott , Machado Juliana Medianeira , Machado Bruna Fernandes , Silva Iohan Souza da , Furquim Fernando Forster , Martini Amanda Carneiro , Domingues Camille Carijo , Rocha Marta Gomes da , Souza Julia Pinto de , Pötter Luciana
Published: October 2024

Detailing the morphogenic characteristics of tropical species that form mixed pastures allows a broader view of plant-animal interactions. The objective of this study was to evaluate the intensity and frequency of defoliation in a mixed pasture of forage sorghum (Sorghum bicolor (L.) Moench.) and Alexandergrass (Urochloa plantaginea (Link) Hitch.) grazed by beef heifers and maintained under continuous stocking. The experimental design was completely randomized with two treatments, five evaluation periods, and nine replicates (paddocks). The tillers in each treatment were identified and marked in the same experimental unit (paddock), considering the existence of the pasture mixture. The treatments included forage species, forage sorghum, and Alexandergrass along the pasture cycle. The defoliation intensity of the leaf blades was higher in forage sorghum than in Alexandergrass during the second and fourth evaluation periods. The defoliation frequency of general leaf blades (number of defoliations blade-1 day-1) was higher for forage sorghum (0.13) than for Alexandergrass (0.11; P=0.0001). Total leaf blade mass (kg dry matter ha-1) was higher and lower during the first and fifth evaluation periods, respectively. Alexandergrass maintained leaf blade mass during the last evaluation period, while forage sorghum started the preflowering phenological stage. There was a preference for forage sorghum, but Alexandergrass ensured greater longevity of the system, and mixed pastures of these species are recommended.
Energy Benchmarking Models for Hotel Buildings: A Case Study in Londrina, Paraná, Brazil
Authors: Rolim Guerra Mariana , Benan Zara Rafaela , Gorban Ferreira Giglio Thalita
Published: October 2024

Room occupancy is an important variable influencing electrical energy consumption in hotel buildings. Given the randomness of this variable, energy demands fluctuate, making it challenging to develop accurate models for describing energy use patterns. This research aimed to develop energy benchmarking models for hotels. For this, five hotel buildings in Londrina, Paraná, Brazil, were used as a reference. Data were collected through questionnaires, interviews with hotel managers, site visits, and analysis of project plans. The analyzed indicators included energy use intensity per built-up area (EUI), room night (EUIRN), average room area (EUIRA), and number of rooms (EUIR). Benchmark equations were obtained by multiple linear regression. The response variables were annual energy use, EUI, EUIRA, and EUIR. Benchmarks were classified on a scale from A to E according to operational energy performance, with A being the most efficient and E the least efficient. Of the five buildings, three were categorized into the same class by the three studied models. The classes of the other two buildings varied according to the model, demonstrating the importance of choosing adequate energy performance indicators for each analysis.
Populační vývoj Česka v roce 2023
Authors: Koukalová Jana
Published: October 2024

The article describes demographic development in Czechia during 2023 and sets it in the context of the previous five years. It focuses on both population stock and the main demographic processes, namely fertility, mortality, nuptiality, the divorce rate, and migration. In 2023, the population in Czechia grew but only thanks to international migration. The number of live births decreased significantly for the second year in a row and remained lower than the number of deaths. The fertility and nuptiality rates also declined. Conversely, life expectancy at birth has increased for both men and women and is the highest it has ever been.
A IMPORTÂNCIA DO TRATAMENTO PERIODONTAL EM PACIENTES ACOMETIDOS POR DOENÇAS CARDIOVASCULARES
Authors: Paiva Vinícius Ribeiro de , Vilela Junior Rafael de Aguiar , Ferreira Ana Lívia , Nascimento João Victor Rios do
Published: October 2024

A doença periodontal pode ser definida por uma variedade de condições inflamatórias que afetam as estruturas de suporte dos dentes, que incluem gengiva, ligamento periodontal e osso. Isso leva à inflamação sistêmica por meio da absorção de patógenos específicos pelos tecidos epiteliais e sua entrada na corrente sanguínea. Em placas dentais, existem mais de 700 espécies de bactérias, várias das quais fazem parte da microbiota de pessoas saudáveis. No entanto, quando as placas dentais são higienizadas mal, ocorre disbiose, aumentando o número de bactérias patogênicas e causando periodontite. Ela tem sido associada a doenças cardiovasculares, partos prematuros, nascimento de crianças com baixo peso, retardo no crescimento fetal e perda de controle glicêmico da diabetes, além das perdas dentárias. A idade, a etnia, a história familiar de doenças cardíacas, hipertensão e o tabagismo também são fatores de risco para periodontite. Isso permite a disfunção endotelial e o desenvolvimento de placas de ateroma, que são essenciais para o desenvolvimento de aterosclerose a longo prazo. Isso ocorre porque funciona junto com os processos de sinalização imune inflamatória. A periodontite, uma doença não contagiosos, é a sexta doença mais comum entre os humanos no mundo. Pode ser prevenida por meio de hábitos de higiene bucal autorrealizados, profilaxia dentária e mais consultas com dentistas autorreferidas. Estudos mostram que o tratamento periodontal reduz a probabilidade de eventos de doença cardiovascular aguda e pode afetar a regressão da doença se for bem-sucedido.
Діагностика розвитку ринку органічної продукції в Україні
Authors: Сичук О. В.
Published: October 2024

Виробництво та торгівля органічною продукцією є важливим вектором подальшого розвитку сектору аграрного виробництва в Україні, який зосереджується на збережені довкілля та отримані високоякісної екологічно безпечної продукції. У статті було розглянуто поняття «органічне виробництво», а також його переваги й проблемні моменти. У дослідженні висвітлено особливості та стан, функціонування ринку органічної продукції в Україні з емпіричної точки зору. У статті проаналізовано стан ринку органічної продукції за показниками динаміки площ органічних сільськогосподарських угідь, кількістю органічних господарств, обсягами виробництва органічної продукції та порівнянням темпів їх зростання, а також структурою пропозиції на ринку органічної продукції України. Встановлено, що в останні роки ринок традиційних харчових продуктів майже не зазнає змін, тоді як ринок органічних продуктів швидко зростає, що і формує неохідність поглиблення даного дослідження. Проаналізовано поточний стан органічного виробництва в Україні, зокрема за два періоди: до та під час повномасштабного російського вторгнення. Досліджено динаміку кількості органічних операторів в Україні за останні 8 років та встановлено зростання даного показника до 2019 ркоу і його спад під впливом зовнішніх чинників. Аграрний сектор є одним із ключових секторів економіки України, охоплюючи приблизно 43 мільйони гектарів сільськогосподарських угідь. На основі проведеного аналізу виявлено ключові фактори, що впливають на розвиток ринку органічної продукції в Україні. На основі аналізу поточного стану, розвитку тенденцій та ключових факторів визначено перспективи ринку органічної продукції. Додатково проаналізовано законодавчу базу, що регулює цей ринок в Україні. Це дозволяє краще зрозуміти ситуацію аспектів введення торгівлі органічною продукцією в сучасних умовах ринку країни. Також висвітлено міжнародні програми підтримки органічних виробників і визначено основні напрями розвитку органічного агровиробництва в Україні. Акцент зроблено на нововведеннях у галузі органічного виробництва, підкреслюючи важливість пошуку шляхів створення здорової конкуренції та підвищення конкурентоспроможності органічної продукції.
Peran kepala tata usaha dalam pengawasan dan pemeliharaan arsip di lembaga pendidikan
Authors: Sari Selvi Irta , Hasbi M , Kanada Rabial
Published: October 2024

Penelitian ini bertujuan untuk menganalisis pengawasan kepala tata usaha dalam pemeliharaan arsip dan mengidentifikasi kendala yang dihadapinya di MTs Marfu'ah Palembang. Metode penelitian yang digunakan adalah penelitian lapangan (field research) dengan pendekatan deskriptif kualitatif, yang melibatkan observasi, wawancara, dan dokumentasi. Data dikumpulkan dari kepala tata usaha sebagai informan utama dan staf tata usaha sebagai informan pendukung, serta dianalisis menggunakan teknik reduksi data, penyajian data, dan verifikasi untuk memastikan validitas data. Temuan penelitian menunjukkan bahwa pengawasan kepala tata usaha berfungsi penting dalam memastikan pemeliharaan arsip sesuai dengan standar yang ditetapkan, termasuk pengaturan ruangan, kebersihan, dan pemeliharaan dokumen. Meskipun sebagian besar standar telah dipenuhi, terdapat beberapa kendala seperti suhu dan kelembaban ruangan yang belum optimal serta kurangnya kesadaran staf mengenai pentingnya kebersihan arsip. Tindakan koreksi yang telah dilakukan mencakup perbaikan fisik ruangan dan peningkatan edukasi staf. Hasil penelitian ini menekankan perlunya perbaikan lebih lanjut dalam fasilitas penyimpanan dan pelatihan staf untuk meningkatkan efektivitas pengelolaan arsip di MTs Marfu'ah Palembang.
Pneumonia Diagnosis and Analysis System with Machine Learning
Authors: Wankhede Shrunkhala S , Adhale Mahima P , Hiwase Sejal T , Khedikar Sayali D , Vaitage Tanushree S
Published: October 2024

Pneumonia Diagnosis with Analysis System using Machine Learning”. Indicates that if the a Pneumonia is a major public health problem that causes a significant morbidity and mortality burden worldwide. Diagnosing pneumonia is often difficult and requires a combination of symptoms, physical examination, and ma ging studies. This research paper introduces the use of m machine learning to improve lung disease diagnosis and analysis, providing fast, accurate, and cost-effective solute for lung disease diagnosis. Recurrent Neural Network (RNN), and Support Vector Machines (SVM) to anal yet medical data, including images, test results, and clinical symptoms. The system is designed to integrate with existing medical systems to provide a better and more efficient experience for doctors and patients. Positive Predictive Value (PPV). The results show that the proposed s system outperforms human experts in terms of accuracy and efficiency, and reduces the time and cost of diagnosis Pneumonia is diagnosed and treated. By leveraging the power of machine learning algorithms, the system can provide doctors and patients with fast, accurate, and cost-effective solution the ultimately improve patient outcomes and reduce medical costs Key Word: lung disease, machine learning, convolutional neural network, recurrent neural network, support vector machine, medical imaging, symptom assessment, Diagnostic test.
AI-Driven Innovation in CRM: Exploring the Potential of Generative Models for Customer Experience Optimization
Authors:   J D College of Engineering and Management, Dwivedi Yamini , Kurde Angel ,   BP-British Petroleum
Published: October 2024

Artificial Intelligence (AI) is reshaping Customer Relationship Management (CRM), with generative models driving a new wave of innovation. This study investigates the potential of generative AI models in optimizing customer experience and streamlining CRM processes. By enabling more tailored customer interactions, predictive analytics, and automating intricate tasks, generative AI technologies are creating opportunities to enhance CRM efficiency. The research explores how generative AI can transform CRM practices, focusing on customer segmentation, sentiment analysis, and dynamic response generation. Through case studies and data exploration, the paper illustrates how organizations can leverage AI-driven CRM tools to improve customer satisfaction, engagement, and retention. It also examines challenges such as data security, model accuracy, and the complexities of integrating AI systems with traditional CRM platforms. By offering an in-depth analysis of AI’s role in CRM transformation, this research outlines strategies for future customer-centric approaches and underscores the growing impact of generative AI on improving customer management.
Impact of Self-Help Groups on Women Empowerment in Telangana
Authors:   M.A Economics, Nizam College (A) Osmania University, Hyderabad, Firdouse Farheen
Published: October 2024

SEWA (Self Employed Women Association) was formed by Ela Bhatt with the objective of enhancing their incomes. Therefore, NABARD in 1992 formed the SHG (Self Help Group) Bank linkage project, which is today the world's largest micro finance project. In India with 1.38 billion people, the majority of population (70% roughly) is engaged in Agricultural activities where people coming from rural areas often find difficulties to save and do not have the access to credit and other finances. Women often faced difficulties in their daily lives, where there is an absolute necessity for them to adopt certain measures to step forward for their finances. This concept was well known as Self Help Group or in short women SHGs which is regarded as the unique notion in this direction. The SHGBLP (Self Help Group Bank Linkage Programme) had a modest beginning in 1992-93 with 255 credit-linked groups and a loan amount of Rs. 29 lakhs. India’s Self Help Group (SHG) movement has emerged as the world’s largest and most successful network of Community Based Organizations (CBOs). The main foresight for joining the SHG is not simply to get just credit but it is an empowerment process having with motivational attributes encouraging women to join the job. An attempt has been made to analyze such motivational, influential factors which encouraged women to join the SHGs and main motives for them to carry on in the groups for long periods. Therefore, the present paper discusses the major roles of working women in the present era of Self-Help Groups in Telangana. Since women empowerment plays a key role in socio economic development. It mainly throws light on women who are now entrepreneurs and are playing vital roles through SHG. It also focuses on the women contribution to the nation and various established parameters through SHG (Self Help Group). Key Words - SEWA (Self-employed women association), Self-help Groups (SHGs), Community based organizations (CBO), BPL (Below poverty line), SHGBLP (Self-help group Bank linkage programme).
PROTOTYPE DEVELOPMENT OF MULTI BLADE POTATO SLICER
Authors: V Dr. Sharanraj
Published: October 2024

The scope of the project is to develop Potato slicer attached with multi-blade as compared to the regular Potato slicer to provide to use both alternatively in domestic & Professional Fields, intended to attract hot potato chips makers. Details of the product development and its features are enclosed. Professionals & Home makers are the large market for Household Manufacturers. Many Manufacturers have developed various strategies to attract the Home makers & Professionals. As student of M-Tech (Product design and Manufacturing), we have made an attempt to address this target group by developing different strategy of providing multi-blade potato slicer which helpful for Home makers & Professionals. In general, this project covers almost all the phases of product design and development.
A bajai röplabdázás aranykora : Az időszak meghatározó egyéniségei II.
Authors: Kiss Zoltán
Published: October 2024

A bajai röplabdázás történetét feldolgozó tanulmány egy korábban megjelent írásnak a folytatása, amely a Danubius Noster X. évfolyamának 2022/4. számában jelent meg ugyanezen címmel. Az I. rész a röplabdázás egyetemes történetének rövid ismertetetése után a sportág hazai megjelenését és fejlődését vázolta szűkebb keretek között, amit a röplabdasport bajai vonatkozású sikereinek, jelentősebb eredményeinek bemutatása követett. Az egykor virágzó bajai röplabdázás korszakába történő bepillantás érzékeltette, hogy annak az egy-két évtizednek a sportágra gyakorolt hatása kiemelkedően meghatározó volt országos viszonylatban. Az I. rész három játékos (Gálos László, Dr. Tüske Ferenc, Dr. Lantos Csaba) pályafutásának bemutatásával zárult, akiknek közös ismérve volt, hogy mindhárman Baján ismerkedtek meg a röplabdával, és együtt jutottak el az 1964-es tokiói nyári olimpiára – a sportág egyetemes történetének első olimpiájára –, ahol az előkelő 6. helyezést érték el. A magyar férfi nemzeti válogatott azóta képtelen volt az olimpiára való kijutást kiharcolni, így a sportág férfi szakágának hazai történetében az olimpiai szereplés egyelőre megismételhetetlennek bizonyul. A témát feldolgozó II. rész olyan további játékosok pályafutásáról emlékezik meg, akikben szintén közös jellemző, hogy Baján ismerkedtek meg a röplabdázással és a sportágban országos hírnévre tettek szert, hiszen válogatott játékosok, magyar bajnokok, magyar kupagyőztesek, szövetségi kapitányok, sikeres edzők kerültek ki közülük. A felsorolás a születési idő szerinti logikát követi, ahogyan az az előző részben is volt.
The reality of using hybrid learning in the faculty of education for pure sciences from the teaching point of view
Authors: Anaya Zahraa Hassan
Published: October 2024

The study was aimed at identifying the reality of the use of hybrid education from the point of view of teachers at the Faculty of Education for Pure Sciences at Dhu Qar University. The study used the curriculum. The sample of the research was the teaching and number of the Faculty of Education for Pure Sciences at Dhu Qar University. (101) Teaching and teaching, the research tool was the hybrid learning questionnaire consisting of (40) A paragraph, applied to the sample in 2023, after some adjustments to it by extracting honesty and consistency, and after statistical analyses the results of the research showed: The most important was the presence of a (high) level of teaching staff at the Faculty of Education for Pure Sciences in the use of hybrid learning, and the study concluded a number of recommendations and proposals.
Management with macroeconomic policies affecting economic development (Case in the republic of North Macedonia)
Authors: Ameti Ilaz , Idrizi Arsim
Published: October 2024

Unemployment is one of the most vexing and difficult socio-economic problems faced by many countries in the world. The unemployment rate brings with it a series of problems such as: poverty, social insecurity which in turn results in a low quality of life of the population in that country, unemployment also affects the use of resources and the economic scale of a country. Due to the high rate of unemployment in the Republic of North Macedonia, macroeconomic policies have been applied as training programs with the sole aim of reducing unemployment. Creating a positive climate and creating certain mechanisms in the labor market encourages investors, local and foreign, to invest and thus create new jobs. The high rate of unemployment in this country shows us that the macroeconomic situation is fragile, but we should also note that due to the active policies of the labor market, unemployment in the Republic of North Macedonia is still decreasing, that is, it is continuous decline, which is a good sign for the recovery of our economy, but on the other hand, it is a result of immigration to other countries, mainly Western Europe. The purpose of this research is to analyze the relationship and impact that inflation and economic growth have on unemployment in the Republic of North Macedonia. To prove this connection, we have based on numerous evidences using the data for the 5-year period 2017-2022 and in the end we have come to the conclusion that in the case of the Republic of North Macedonia there is a negative relationship between inflation and unemployment also negative relationship between economic growth and unemployment.
Scheduling for High-Performance Computing with Reinforcement Learning
Authors:   Kansas State University, Hutchison Scott , Andresen Daniel ,   Kansas State University, Hsu William ,   Kansas State University, Parsons Benjamin ,   Engineering and Research and Development Center, Vicksburg, MS, Neilsen Mitchell ,   Kansas State University
Published: October 2024

Job scheduling for high performance computing systems involves building a policy to optimize for a particular metric, such as minimizing job wait time or maximizing system utilization. Different administrators may value one metric over another, and the desired policy may change over time. Tuning a scheduling application to optimize for a particular metric is challenging, time consuming, and error prone. However, reinforcement learning can quickly learn different scheduling policies dynamically from log data and effectively apply those policies to other workloads. This research demonstrates that a reinforcement learning agent trained using the proximal policy optimization algorithm performs 18.44% better than algorithmic scheduling baselines for one metric and has comparable performance for another. Reinforcement learning can learn scheduling policies which optimize for multiple different metrics and can select not only which job in the queue to schedule next, but also the machine on which to run it. The agent considers jobs with three resource constraints (CPU, GPU, and memory) while respecting individual machine resource constraints.
Towards Performance in Aeronautics: the Role of Artificial Intelligence
Authors:   Tarbes University of Technology, Zaoui Amina , Kamsu-Foguem Bernard ,   Tarbes University of Technology, Fosso-Wamba Samuel ,   TBS Business School, Tchuente Dieudonne ,   TBS Business School
Published: October 2024

AI integration is growing interest in the aeronautics sector. Common AI technologies include autonomous intelligent systems, predictive analytics and machine learning. The benefits of AI integration include cost reduction, improved customer satisfaction, time savings, enhanced safety and security, better decision-making, problem-solving, and operational efficiency. By implementing new AI technologies aeronautics companies enhance their performance.
Prospect for Blockchain Applications & Perspectives: a Vision from French Occitanie
Authors:   Tarbes University of Technology, Cheukap Djampou Emma Junior , Kamsu-Foguem Bernard ,   Tarbes University of Technology
Published: October 2024

A blockchain is a technology for storing and transmitting information without a control body. This document presents the point of view of digital players in Occitanie, a French region bordering Spain, on blockchain development projects in different sectors of production of goods and services, including energy and health care. The prospects and challenges of blockchain applications are also mentioned.
Towards Machine Learning Maintenance in Airport Infrastructure
Authors:   INPT- Toulouse, Lahna Tarik
Published: October 2024

The total operating costs of airport infrastructures include substantial upkeep expenses. Maintenance management methods are becoming increasingly important because any damage can lead to significant consequences at the airport. Many classic maintenance methods, like "run to failure" or preventive methods, are lacking in different fields because they're expensive and show a non-maintenance management approach. Many methods related to BIM will detect all possible failures and resolve them before they occur, a type of management known as "predictive maintenance." Predictive maintenance enables you to maximize the availability of engineering systems, prevent downtime, reduce downtime, and increase safety.
Reducing Errors in Electronic Medical Records
Authors:   University of Burgundy, Sellami Lynda , Sellami Khaled ,   University of Bejaia, Tiako Pierre ,   Tiako University in Oklahoma
Published: October 2024

As electronic medical records (EMR) are used in e-health by healthcare professionals and by patients themselves, there is a need to facilitate the efficiency and usability of these systems, reducing adverse patient outcomes due to EMR-related user errors. To pinpoint and mitigate errors within the electronic health record, we formulated a methodology designed to uncover entry errors within the electronic health record. This approach involves meticulously examining the electronic health record during data input and cross-referencing it with the patient's medical history to uncover potential entry discrepancies.
Text Toxicity Level Detection Using Deep Contextualized Embedding Models
Authors:   University of Sharjah, Elgendy Omar , Bou Nassif Ali ,   University of Sharjah, Soudan Bassel ,   University of Sharjah
Published: October 2024

Toxic text is a critical aspect of social media, particularly in today's digital landscape. With the spread of online communication, it has become increasingly easy for individuals to spread harmful or offensive content. Toxic texts include the spread of misinformation, the promotion of hate speech, bullying, and the erosion of trust in online communities. Text toxicity detection algorithms can help to identify and mitigate these negative effects by automatically flagging potentially harmful content. This allows social media platforms to intervene and take appropriate action, such as removing the content or warning the user. Usually, social media platforms offer a reporting strategy which acts after a human decision is made. However, social media now requires an automated system to do this task. In this work, we proposed a Deep learning Regression model to predict the toxicity level in text. Additionally, we fine-tuned multiple Bert models for this task. Our work was evaluated using Mean Square Error, Root Mean Square Error and Mean Absolute Error compared to the testing set of the data and we got for the base model MSE of 0.562, RMSE of 0.750 and MAE of 0.364 but for BERT we got MSE 0.403, RMSE 0.635 and MAE 0.232.
Exploring Vulnerabilities: An In-Depth Analysis of Security Weaknesses Leading to Dark Web Exposure and Improved Security Defenses Using Artificial Intelligence (AI) & Machine Learning (ML)
Authors:   Penn State University, Squillace Joseph , Cappella Justice ,   Penn State University, Sepp Andrew ,   Penn State University
Published: October 2024

In modern society, demand and value of stolen personally identifiable information (PII) has risen dramatically. A significant portion of this information can be found within the Dark Web. Growing exposure and exchange of PII is largely a resultant of inadequate organizational security measures. This investigation uses Artificial Intelligence (AI) and Machine Learning (ML) to explore the underlying causes of data breach events to examine how adaptation of more robust security strategies can mitigate PII exposure.