bluuebunny/crossref_metadata_2025 huggingface dataset:
Promotion of the refugee to legitimate employment through the prism of the development of the economic sector of the host country
Authors: Fuior Artur
Published: October 2024

This article aims to describe the most important aspects of refugee inclusion and adaptation in the economic sector of a prosperous democratic society. Particular attention is paid to employing refugees, as they are expected to contribute to the economic development of the host country. Various new elements of analysis are applied to demonstrate that the information is current and truthful. This act exposes some premordial aspects such as: refugee adaptation disputes in employment and the process of integration into the host community. It describes the definitive assimilation of local instruments in relation to the main moments of adaptation of the subjects, in our case refugees. The authors of several doctrinal arts convey to multiple sources of ideas where the applicable rules for the classification of refugees in different countries are described. At the end of the article are exposed defenitory factors of research on refugee employment, ending with recommendations.
Oil Spills Impacts on Environmental Sustainability: A Case Study of Obio/Akpor Local Government Area, Rivers State Nigeria
Authors: Ogunlade S.O.
Published: October 2024

This study investigated the impact of oil spills in Obio/Akpor Local Government Area of Rivers State Nigeria over a period of two decades 2003-2023. The techniques of Remote Sensing and Geographic Information system was adopted for the study. The dataset used were Landsat images and historical oil spill data of the study area. The images were corrected for atmospheric and geometric distortions. Four remote sensing indices were adopted. These are Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Land Surface Temperature (LST), Normalized Difference Built-Up Index (NDBI). They were subjected to Spatial pattern analysis  in the ArcGIS 10.5 software environment.  The temporal dynamics of the indices revealed that, NDVI values ranged from -0.12 to 0.68 in 2003, -0.19 to 0.76 in 2013, and   -0.17 to 0.63 in 2023 while NDWI ranged from -0.56 to 0.19 in 2003, -0.64 to 0.31 in 2013, and   -0.52 to 0.29 in 2023. The NDBI range was from - 0.48 to 0.39 in 2003, -0.48 to 0.29 in 2013, and -0.44 to 0.31 in 2023. These result revealed that oil spill susceptibility changed significantly in the study area over time. It was observed that the spill that was absent in 2003 spread to four areas towards the North East in 2013, and to fifteen areas toward the South East in 2023.  The oil spill index was evaluated between 2003 and 2013 and inferred a mix of increase and a little decrease in oil spill susceptibility across different regions in the study area. It was concluded that there is an imminent worsening of environmental conditions or an escalation in factors contributing to oil spill risks across the study area.  A continuous periodical environmental impact assessment   that will provide environmental protection, the safety of the inhabitants of the location and for improvement in oil spill responses was recommended.
Evaluation of FYM and Inorganic NP Fertilizers on Yield Performance of Sweet Potato [Ipomoea batatas (L.) Lam] in Debub Ari District, Southwestern Ethiopia
Authors: Tunebo Atinafu , Hegano Abebe , Sultan Muhaba
Published: October 2024

Lack of appropriate recommendation rates of fertilizers is one of the major problems limiting yield production. A study was conducted to evaluate the effect of FYM and inorganic NP fertilizers on tuberous root yield and yield related parameters of sweet potato at Jinka Agricultural Research Center Station. The treatment consisted of three levels of N (0, 23 and 46 kg ha-1), three levels of P (0, 20 and 40 kg ha-1) and three levels of FYM (0, 2.5 and 5 t ha-1). The experiment was laid out as a Randomized Complete Block Design in a factorial arrangement and replicated three times. Analysis of the results showed that the main effects of nitrogen (P < 0.05), phosphorous (P < 0.05) and farm yard manure (P < 0.05) showed significant difference on total tuber yield and fresh biomass but dry matter was non-significantly affected by the main effects of nitrogen (P < 0.05), phosphorous (P < 0.05) and farm yard manure (P < 0.05). The interaction effects of N (P < 0.05), P (P < 0.05) and farm yard manure (P < 0.05) showed significant difference on total tuber yield, fresh biomass and dry matter. Soil samples collected from the experimental field before treatment application showed sandy clay in texture, moderately acidic in reaction, very low in total nitrogen, low in available P, medium in organic carbon, and low cation exchange capacity. Maximum total tuber yield was recorded at the combined application of N, P and fam yard manure at the rates of 46 kg N ha-1, 92 kg P2O5 ha-1 and 5 t FYM, respectively which was in statistical at parity with the application of 46 kg N ha-1, 92 kg P2O5 ha-1 and 2.5t FYM whereas the minimum was obtained for the combined application of nil rates of all fertilizers. A maximum net return of 226477.6 ETB was obtained from plots receiving treatments of 46 kg N ha-1, 92 kg P2O5 ha-1 and 5t FYM compared to the minimum net benefit (82404.9 ETB) from the control plots. However, the application of 46 kg N ha-1, 92 kg P2O5 ha-1 and 2.5t FYM was also at par net benefit (223588.3 Eth-Birr) with those treatment. So, to minimize production cost and due to environmental friendly, combined application of 46 kg N ha-1, 92 kg P2O5 ha-1 and 2.5t FYM is recommended. Sweet potato growers can also use 46 kg N ha-1, 92 kg P2O5 ha-1 and 5t FYM as an alternative option for long term productivity of the soil.
Impact of Detox Diets on Obesity and Metabolic Syndrome: Implications for Weight Loss, Metabolic Health, and Clinical Practice
Authors: Kerna Nicholas A. , Ngwu Dabeluchi C. , Jomsky Breanna M. , Holets Hilary M. , Nnake Ijeoma , Jeremiah Shoyoye Muyiwa , Flores John V. , Pruitt Kevin D. , Carsrud N.D. Victor , Senat Alexandra Jean Baptiste , Azi Cornelius I. , Morvey Susan A. , Anderson II Joseph , Egli Anna , Chawla Sudeep , Ezewudo Onyinye , Adadzi Jerome
Published: October 2024

Detox diets, including intermittent fasting, ketogenic, Paleo, vegetarian, Mediterranean, Dietary Approaches to Stop Hypertension (DASH), and Whole30, are notable strategies for managing obesity and metabolic syndrome. This review evaluates these diets, highlighting their benefits and limitations. Intermittent fasting methods like 16/8 and 5:2 aid weight management and improve insulin sensitivity, while ketogenic diets induce rapid weight loss and enhance metabolic markers through ketosis. The Paleo diet supports weight loss and better blood glucose control by focusing on whole foods and avoiding processed items. Vegetarian and Mediterranean diets also aid weight management and metabolic health, with the former improving blood sugar control through high fiber and the latter offering anti-inflammatory benefits from healthy fats. The DASH diet reduces blood pressure and supports weight loss, and the Whole30 diet promotes weight loss and reduces inflammation by eliminating processed foods. Anti-inflammatory, plant-based, and vegan diets contribute to weight loss and metabolic health through high nutrient density and reduced processed food intake. Detox diets may offer temporary weight loss and metabolic benefits, but their restrictive nature often limits long-term sustainability and clinical feasibility. Effective use requires careful individualization and ongoing monitoring. Further research is needed to assess their long-term effects, safety, and impact on diverse populations. Advances in personalized nutrition could improve their effectiveness in managing obesity and metabolic syndrome. While promising, these diets require careful management to maximize benefits and minimize risks.
Transformative Advancements in Diagnostic Imaging: Reducing Risks, Enhancing Accuracy, and Promoting Sustainability
Authors: Kerna Nicholas A. , Ngwu Dabeluchi C. , Kadivi Kyle , Carsrud N.D. Victor , Pruitt Kevin D. , Flores John V. , Holets Hilary M. , Jomsky Breanna M. , Chawla Sudeep , Azi Cornelius I. , McKee Devin , Nwokorie Uzoamaka , Anderson II Joseph , Dugeri James Lubem , Hammam Hossam Salah Hassan , Chiedozie Okike Basil , Nnake Ijeoma , David Chidi Okechukwu , Adadzi Jerome
Published: October 2024

The review discusses the risks posed by conventional medical imaging methods, including radiation exposure, allergic reactions, and environmental contamination. It explores recent innovations, such as advanced modalities like photon-counting computed tomography (CT) scanners and ultra-high-field magnetic resonance imaging (MRI) systems, which provide high-resolution images with reduced radiation doses. Artificial intelligence (AI) further enhances the field by automating tasks, improving image analysis, and personalizing protocols, including real-time and predictive monitoring. Non-invasive techniques, such as elastography and photoacoustic imaging, are highlighted for minimizing reliance on ionizing radiation. AI-driven strategies also address environmental concerns through the use of biodegradable contrast agents and energy-efficient technologies. Economic assessments reveal the cost-effectiveness of imaging technologies and their impact on healthcare budgets while acknowledging persistent disparities in access. The review examines contrast agents and radiation: their long-term and broad-ranging adverse health impacts and how new imaging techniques aim to eliminate or mitigate these effects. It also considers how advancements in AI improve diagnostic accuracy and workflow efficiency. Also, the integration of imaging with genomics and telemedicine is discussed, alongside efforts to address economic and accessibility challenges and promote sustainable practices. Imaging technology and AI innovations are transforming diagnostic practices and addressing existing challenges, with ongoing innovation and collaboration essential for optimizing benefits for patients, medical staff, and the environment.
Fangs of Snake (Sarpadangstra): A Literary Study
Authors: Goswami Dilip Kr.
Published: October 2024

Snakes are the most commonly experienced creature by the human society. There are many incidences of bite by the snakes resulting in a number of problems including death. Snakes bite usually due to (1) fear, (2) being injured, (3) for self protection and (4) to use the substance as food. In all circumstances the main weapon used by the snakes is the fangs (Dangstra). Though not in all situations, when snakes bite, poison is injected through the modified teeth (Fangs that can be closely co-related with Dangstra mentioned in the Ayurvedic classics). A study of the Ayurvedic classics to explore the concept on the fangs is considered by the author important and time tested.
Nexus between Anthropometric Indices in Hypertensive and Normotensive Adults: A Gender-Based Study in a Sprawling Urban Community
Authors: Chukwu Norbert Sunday , Ikwuka Aloysius Obinna , Udeh Francis Chigozie
Published: October 2024

Adipose tissue in the body can be easily assessed using anthropometric measurements such as hip, waist, chest, and neck circumferences, waist-to-height ratio, body mass index (BMI), and subscapular skinfold thickness. Gender, age, lifestyle, ethnicity, genetics, and nutrition influence these measurements. Although extensive research exists on anthropometry, there is still a lack of data on the gender-specific correlations between anthropometric indices (or parameters), obesity, and blood pressure. This study aimed to investigate the gender differences in anthropometric parameters in hypertensive and normotensive adults, and to assess the gender-based correlations between anthropometry and blood pressure. A cross-sectional, quantitative study involving 355 adults, aged 20-75 years was conducted in Enugu City, South-East Nigeria. Data were collected using well-structured questionnaires, an electronic weighing scale, a stadiometer, a non-elastic fiber-glass tape, and an Accoson™ Desktop mercury sphygmomanometer. Student’s t-test was used to compare anthropometric parameters, and Pearson correlation coefficient (r) was used to analyze the relationships between anthropometric parameters and blood pressure. Statistical significance was set at p<0.05. The study found a 38.0% prevalence of hypertension. Gender comparisons revealed that more males were underweight (39.0%), with no cases of class 3 obesity. Females had higher rates of overweight (27.9%) and obesity (41.3%). In the hypertensive participants, all anthropometric parameters were higher when compared to normotensive participants, except for height in males, neck circumference and subscapular-triceps ratio in females. Hypertensive and normotensive males had greater weight, height, neck and chest circumferences, waist-to-hip ratio, and subscapular-triceps ratio than their female counterparts. Conversely, hypertensive and normotensive females had greater waist circumference, hip circumference, subscapular skinfold, triceps skinfold, BMI, and waist-to-height ratio compared to males. Anthropometric parameters are key indicators of obesity, a major global health issue due to its association with hypertension. The rising trend in obesity, driven by dietary changes, disproportionately affects women. Urgent interventions are needed to promote routine exercise, particularly among administrative workers, and to raise public awareness about the benefits of physical activity.
Impact of Leptin and Thyroid Hormone on Obesity in Wasit Province, Iraq
Authors: Alkinani Asmaa' Musead Salih
Published: October 2024

The current study investigates the correlation between thyroid dysfunction, specifically thyroid stimulating hormone (TSH) levels, and obesity in children and adolescents. The researchers also assessed the levels of leptin hormone and lipid profiles in obese individuals compared to non-obese individuals.". 
The study included 100 participants aged 7 to 15 years, divided into two groups: 50 obese individuals and 50 non-obese individuals as a control group. The body mass index (BMI) was used to determine obesity. Blood samples were collected from both groups to measure various parameters, including serum leptin, TSH, total cholesterol, triacylglycerol, high-density lipoprotein cholesterol (HDL), and low-density lipoprotein cholesterol (LDL). 
The statistical analysis of the data, performed using the Statistical Package for the Social Sciences (SPSS), revealed significant differences between the two groups. The obese group showed a significant increase (p < 0.01) in serum leptin levels compared to the non-obese group. In contrast, the non-obese group had higher levels of T4, T3, and TSH, along with lower levels of leptin and all lipid profiles. The obese group had lower levels of T3 and T4, higher levels of TSH, and lower levels of leptin, as well as significant differences in lipid profiles when compared to the non-obese group. 
These findings suggest that there is a relationship between thyroid dysfunction, leptin hormone levels, and lipid profiles in obese children and adolescents. However, it's important to note that the specific mechanisms underlying this relationship and the direction of causality are not discussed in the provided information. Further research would be needed to explore the implications and potential therapeutic interventions related to these findings.
The Role of Remote Sensing in Assessing and Mitigating Environmental Pollution: A Narrative Review
Authors: Harbi Muna R. , Rasheed Hala Ahmed , Abed Hala A. , Mohsein Osama Akram
Published: October 2024

This narrative review explores the pivotal role of remote sensing technologies in assessing and mitigating environmental pollution. Remote sensing, through satellites and aerial sensors, provides comprehensive, real-time data on various environmental parameters, including air and water quality, land use, and vegetation health. This review highlights how these technologies facilitate the monitoring of pollutants, track changes over time, and support spatial analyses that are crucial for understanding pollution dynamics. By integrating remote sensing data with environmental models, researchers and policymakers can identify pollution sources, evaluate the effectiveness of mitigation strategies, and predict future trends. The review also discusses advancements in sensor technology and data processing, which enhance the accuracy and scope of environmental assessments. Ultimately, remote sensing proves to be an indispensable tool in the fight against environmental pollution, offering valuable insights that drive informed decision-making and sustainable practices.
Research on Ecological Restoration Mode and Policy of Mining Areas in China
Authors: Wang Daiyi , Wang Daihua
Published: October 2024

In order to promote the environmental restoration and management of mines in China, on the basis of comprehensive analysis of regional ecosystem stability, natural geography, climatic conditions and mine characteristics, this paper puts forward five main models of mine ecological restoration. It is clear that the ecological restoration policy ideas of China's mines are to take mining enterprises as the main body of environmental responsibility. At the same time, the government gradually improves policies and regulations, provides economic incentive policies, and formulates detailed technical standards and operational guidelines to help them, and is committed to the ecological restoration and management of mines in China. Finally, it puts forward countermeasures and suggestions for the development of China's mine ecological environment restoration, and provides decision-making basis and governance suggestions for the mine ecological restoration work of China's and international mining industry.
Elemental Influence on Dielectric Properties and Loss Tangent in CaCu₃Ti₄O₁₂ Ceramics
Authors: Ali Jawad , Khan Waleed , Arfan Muhammad , Shahzad Amjad , Abidin Shayan Ul , Hamza Ameer
Published: October 2024

In this research, we explore novel doping and co-doping strategies to enhance the performance of calcium copper titanate (CaCu₃Ti₄O₁₂, CCTO). The focus is on incorporating different elements like bromine and fluorine these elements are doped alone and as well as together we have seen a huge difference in it as compared to pure calcium carbon titanate, these elements changed the CCTO structure and to investigate their effects on the material's properties. The chemical formulas of the doped and co-doped compounds are CaCu₃Ti₄(O,Br)₁₂, CaCu₃Ti₄O₁₂₋F₂ₓ, and CaCu₃Ti₄O₁₂. Detailed analyses of structural and dielectric properties were performed to understand the impact of these dopants. Our findings demonstrate significant improvements in the dielectric constant and overall stability of the material, which hold promise for advanced applications in electronic devices.
Algorithm and Software Implementation of an Optimization Method
Authors: Branga Adrian Nicolae
Published: October 2024

In this article we present an algorithm, software implementation and some numerical experiments for an optimization method applied to unimodal functions, which depends on a conveniently chosen free parameter. This algorithm contains as a particular case the method of golden section, for a certain choice of the parameter. Numerical results showed that the proposed algorithm leads to finding the optimal solution performing a smaller number of iterations than the golden section method, this fact being also justified from theoretical point of view.
CHARACTERISTICS AND PROFITABILITY OF DATE PALM MARKETING IN KANO METROPOLIS, NIGERIA
Authors: Tafida, I.  , Nazifi, B.  , Mustapha, M.M.
Published: October 2024

This study aimed at analyzing Characteristics and profitability of date palm marketing in Kano metropolis, Nigeria. Multistage sampling technique was employed for selecting 50 respondents (15 wholesalers and 35 retailers) for the study. The data for the study were collected using structured questionnaires administered to the respondents. Descriptive statistics, Gross marketing margin, Net marketing margin and return per naira invested were used to analyze specific objectives of the study. The findings revealed that wholesalers (35.6 years) and retailers (26.1 years) involved in date palm marketing were primarily within their economically active age range.  The marketers had small household sizes of 5 and 6 persons for wholesalers and retailers respectively, and a significant proportion (About 60%) had no formal education. Personal savings were the main source of initial capital for both wholesalers (53.3%) and retailers (54.3%). Co-traders were the primary source of marketing information (53.3%), and Jan Dabino (34%) emerged as the most popular and marketable date palm variety in the study area. The return on investment for the two ventures was estimated at 1.14 and 1.22 for wholesalers and retailers respectively. It was also found that retailers enjoy a higher net marketing margin and gross margin per bag than wholesalers respectively in the study area. Major constraints affecting date palm marketing in the study were inadequate capital (82%) and poor storage facilities (46%).  It is recommended that the industry should be rejuvenated in order to meet the demand for domestic consumption and also the creation of job opportunities; and provision of capital through initiatives such as government subsidies
CARCASS YIELD AND ORGANS CHARACTERISTICS OF BROILER CHICKENS FED DIETS CONTAINING GRADED LEVELS OF RICE MILLING WASTE AS REPLACEMENT FOR WHEAT OFFAL
Authors: Williams, G.  , Jama'a, N.A.
Published: October 2024

This experiment was conducted at the Teaching and Research Farm, Department of Animal Production, Abubakar Tafawa Balewa University, Bauchi to investigate the carcass yield and organs characteristics of broiler chickens fed white maize and full fat soya beans-based diets containing graded levels of rice milling waste (RMW) as replacement for wheat offal. Five isocaloric and isonitrogenous diets were formulated in which rice milling waste replaced wheat offal at 0, 25, 50, 75 and 100% in diets 1, 2, 3, 4 and 5 respectively in both starter (23% CP) and finisher (20% CP). Three hundred (300) day old chicks were randomly allotted to the five diets in four replicates of fifteen birds each in a completely randomized design. Feed and water were given ad libitum and the experiment lasted for eight weeks. Proximate composition of the test material (RMW) indicated that it contains 94.12 Dry Matter, 5.21 Crude Protein, 31.40 Crude Fibre,3.42 Ether Extract, 20.13 Ash and 39.84 Nitrogen Free Extract. Most of the carcass parameters observed were not statistically influenced by the dietary levels of RMW, except on head (2.95 – 5.50g), legs (4.51 – 5.53g), large intestine length (3.20 – 5.37g) and gizzards (2.26 – 2.73g) which were significantly (P<0.05) affected. However, values of live, plucked and carcass weights ranged between 1256.33-1380.51g, 1087.88-1231.47g and 863.12-1064.19g, respectively, while that of dressing percentages were between 65.35-78.77%. It was concluded that rice milling waste can replace 100 % of wheat offal as fibre source in the diets of broiler chickens without adverse effects on the carcass yield and organs characteristics. It was therefore recommended for use in broiler chickens’ diets to reduce cost of production and over dependance on the conventional wheat offal.
EFFECT OF SEX AND AGE ON MORPHOMETRIC, PHYSIOLOGICAL AND BLOOD PROFILE OF MIXED BRED RABBIT
Authors: Ihendu, U.  , Atansuyi, A. J.  , Chineke, C.A.
Published: October 2024

This study was conducted to assess the morphometric, physiological and blood parameters of mixbred rabbits at different ages. One hundred and sixty rabbits comprising New Zealand White and Chinchilla Crossbreds were used. Body weight and body linear parameters were measured and recorded on weekly basis. Generalised Linear Model Procedure of SAS software was used to analyse the data set to examine the effects of sex and age on these parameters.  The results indicated that sex significantly (P<0.05) affected morphometric and physiological parameters at 4, 8, 12, 32 and 48 weeks. Does (female rabbits) performed better than bucks (male rabbits) in almost all the traits studied. Buck at 8 weeks had higher rectal temperature while, higher values for pulse rate were recorded among the does and bucks at 32 weeks. Higher respiratory rate was observed in bucks at 48 weeks and for does at 32-48 weeks. Sex however had no significant effect on all haematological parameters. Sex had significant effect (P<0.05) on aspartate amino transferase (AST), alanine amino transferase (ALT), alkaline phosphate (ALP), cholesterol (CHOL), triglyceride (TRG), low density lipoprotein (LDL), urea, creatinine and globulin (GLOB) of the crossbred rabbits at different ages. The higher aspartate amino transfererase (AST), alanine amino transferase (ALT), alkaline phosphate (ALP), cholesterol (CHOL), triglyceride (TRG), low density lipoprotein (LDL), globulin (GLOB) and urea were recorded in bucks at 48 weeks while the lowest low-density lipoprotein (LDL) was recorded for bucks at 32 weeks but creatinine was higher at 48 weeks of age among the does. Age had significant (P<0.05) effect on morphometric, physiological and blood parameters. The highest rectal temperature was recorded at 8 weeks of age while highest respiratory rate was recorded for rabbits at 48 weeks. The higher creatinine, basophils and urea values were recorded for rabbits at 48 weeks old. Body weight influenced the morphometric, physiology and blood parameter of crossbred rabbits. It can be suggested to rabbit farmers that sex and age must be taken into account for optimal production.
Pencerapan Nilai Hiburan dan Dakwah Pada Anggota Pagar Nusa
Authors: Hidayatullah Ihwan
Published: October 2024

Pencak Silat merupakan permainan tari yang menurut pada ketangkasan dan banyak gaya serta bunga pada langkahnya. Sementara silat merupakan kepandaian melindungi diri dari serangan yang tidak terkira yang berdasar pada sigap dan tangkas serta memperhatikan tiap gerak dan gerik sang lawan.[1] Pencak Silat adalah hasil budaya masyarakat Indonesia dalam hal membela diri, dan mempertahankan diri. Pencak Silat merupakan ciri-ciri kepribadian bangsa Indonesia yang dimiliki dari hasil satu persatuan yang turun temurun, namun hingga saat ini belum ada bukti sejarah yang menjelaskan sejak kapan pencak silat itu ada.
MENILIK FUNGSI HUMOR DI DALAM KELUARGA KRISTEN SEBAGAI WADAH UNTUK MENUMBUHKAN NILAI KEAKRABAN KELUARGA KRISTEN
Authors: Lawolo Aprianus
Published: October 2024

Penelitian mengenai humor sudah banyak dilakukan, dan hasilnya humor menunjukkan peranan yang penting bagi kehidupan manusia khususnya di dalam membentuk hubungan yang dekat antara sesama keluarga. Akan tetapi, pemahaman yang baik tentang humor masih di salah pahami oleh sebagai orang. Salah satunya adalah teolog besar St. John Chrysostom di dalam risalahnya ia mengatakan bahwa humor tidak menunjukkan ciri khas teladan pengikut Kristus. Untuk menjawab permasalahan di atas penulis menggunakan metode deskriptif kualitatif dengan pendekatan studi literatur. Sehingga hasil penelitian ini menunjukkan bahwa humor bukan bagian yang terpisah dari aspek kehidupan manusia, humor dapat membantu seseorang khususnya sebuah keluarga Kristen di dalam menumbuhkan nilai saling menyayangi, yang pada akhirnya juga akan menciptakan sikap saling terbuka satu sama lain antara anggota keluarga.
Kelayakan Usaha Perkebunan Melaleuca cajuputi subsp. cajuputi untuk Produksi Minyak Atsiri dan Produksi Madu
Authors: Wahyuningsih Siti
Published: October 2024

AbstractMelaleuca cajuput plantation is promising for cajuput oil production and apiculture. However, the economic potency of those businesses is not simultaneous because the tree will be pruned for oil which potentially reduces nutrient flow for honeybees. This study identifies the optimal time for leaf harvesting for oil production and apiculture and the economic value. A prediction of branch production (10.000 trees/ha) was calculated from the average branch numbers of 50 trees with intervals of 1 m x 1 m from three different sites. The business feasibility of cajuput oil production and apiculture was calculated based on the BC ratio, NPC, and DPP. The average number of branches is 6,500 (branches/ha). BC ratio for cajuput oil production and apiculture (10,000 trees/ha) and the NPV were 1.2 to 1.4; 1.2 and Rp 18,428,816 to 20,695,245; Rp 211,735, respectively. The cost recovery of investment for the cajuputi oil business and apiculture is 6 to 8 and 2 years, respectively. A combination of cajuput oil and apiculture is better to develop after the stand starts flowering at 1.5 years old and after the leaves can be harvested (1.5 to 4 years). However, the leaf harvesting could be held after the flowering season lasts from January to March.
Keywords: Economic value, Melaleuca cajuputi, cajuput oil, honey
AbstrakMelaleuca cajuputi menjanjikan untuk usaha minyak atsiri dan apikultur. Namun, potensi ekonomi dari kedua usaha tersebut tidak dapat diperoleh secara simultan, karena kayu putih akan dipangkas untuk produksi minyak atsiri yang juga akan mengurangi ketersediaan pakan bagi lebah madu. Penelitian ini bertujuan mengkaji waktu optimal panen daun kayu putih untuk minyak atsiri dan apikultur dan kelayakan usahanya. Pendugaan produksi cabang (10.000 pohon/ha) dihitung berdasar rerata jumlah cabang kayu putih dari 50 tanaman kayu putih berjarak tanam 1 m x 1 m dari tiga lokasi yang berbeda. Kelayakan usaha kayu putih untuk minyak atsiri dan apikultur dihitung berdasar nilai BC rasio, NPV dan DPP. Rerata jumlah cabang kayu putih adalah 6.500 (cabang/ha). BC rasio untuk produksi minyak kayu putih dan apikultur dari perkebunan kayu putih (10.000 pohon/ha) dan NPV masing-masing adalah 1,2-1,4; 1,2 dan Rp 18.428.816 - 20.695.245; Rp 211.735. DPP untuk bisnis minyak kayu putih dan apikultur masing-masing adalah 6-8 tahun dan 2 tahun. Kombinasi minyak kayu putih dan apikultur lebih baik dikembangkan setelah tegakan mulai berbunga pada umur 1,5 tahun dan setelah daun dapat dipanen (1,5-4 tahun). Namun, pemanenan daun sebaiknya dilakukan setelah musim berbunga berlangsung, yaitu dari Januari hingga Maret.
Kata kunci: Nilai ekonomi, Melaleuca cajuputi, minyak astiri, madu
Agroforestri Garut dan Kapulaga Berbasis Sengon (Falcataria moluccana) untuk Peningkatan Produktivitas Lahan Hutan
Authors: Octavia Dona , Wijayanto Nurheni , Budi Sri Wilarso , Suharti Sri , Batubara Irmanida
Published: October 2024

Krisis pangan dan dampak perubahan iklim telah meningkatkan kebutuhan hidup  masyarakat. Salah satu upaya peningkatan produktivitas lahan melalui penerapan praktik agroforestri. Penelitian bertujuan menganalisis produktivitas lahan agroforestri melalui kombinasi tanaman pokok sengon dengan tanaman garut dan kapulaga. Penelitian menggunakan rancangan petak terbagi dalam rancangan acak kelompok. Petak utama berupa pola tanam (sengon+garut, sengon+kapulaga, sengon+garut+kapulaga, monokultur sengon, garut, dan kapulaga), sedangkan anak petak berupa dosis pupuk bokashi (0, 250 dan 500 g). Parameter yang diukur meliputi tinggi dan diameter sengon, produksi umbi garut dan buah kapulaga. Hasil penelitian menunjukkan bahwa ketiga pola tanam agroforestri menghasilkan pertumbuhan sengon yang tidak berbeda signifikan.  Pola tanam agroforestri menghasilkan bobot segar rata-rata umbi garut yang lebih kecil dari pada monokultur yaitu
produksi umbi garut 6,17 ton ha-1 dan produksi buah kapulaga 0,83 ton ha-1. Pola tanam monokultur garut menghasilkan umbi 9,95 ton ha-1 dan monokultur kapulaga telah menghasilkan buah kapulaga 1,06 ton ha-1. Nilai kesetaraan lahan ketiga pola tanam agroforestri antara 2,08-2,44. Ketiga model agroforestri tersebut dapat meningkatkan produktivitas lahan hutan dan prospektif diterapkan di program perhutanan sosial.
Estilos parentales de crianza y su relación con los tipos de conducta agresiva en adolescentes
Authors: Di Tocco Cecilia
Published: October 2024

La presente investigación tuvo como objetivo relacionar los estilos parentales de crianza y los tipos de conducta agresiva en los adolescentes de dos escuelas públicas en la localidad de Quilmes. Se realizó un estudio de enfoque cuantitativo, de alcance correlacional, de corte transversal con una muestra conformada por 200 alumnos (un 47% de varones y un 53% de mujeres), con un promedio de edad de 14,5 años (Min=12; Max=17). Los instrumentos administrados fueron la Escala de Estilos de Socialización Parental (ESPA 29) y la Escala de conducta violenta en la escuela, además de un breve cuestionario sociodemográfico.
Al analizar los resultados obtenidos, respecto a los estilos de socialización parental de la madre y del padre y los tipos de conducta agresiva de los adolescentes, el coeficiente de correlación Rho de Spearman presentó, en el caso de la madre, una significación de 0,96 en la agresión manifiesta, lo cual indica que no existe una relación significativa entre las variables, y en el caso del padre, se obtuvo una significación de 0,42 en la agresión manifiesta, lo cual indica la existencia de una relación. Estos resultados concuerdan a su vez al realizar la correlación de los cuatro estilos parentales por separado y la conducta agresiva, ya que el estilo de crianza predominante en la madre, el Autorizativo, no guarda relación con el tipo de conducta agresiva manifiesta (Sig. 0.701), mientras que el estilo parental predominante en el padre, el Negligente, si guarda relación (Sig. 0,36), con lo cual se puede concluir que los adolescentes criados bajo estilos parentales negativos, como lo son el estilo autoritario (que mostró tener relación con la agresión manifiesta, con una Sig. de 0,24) y el negligente, tenderán a comportarse de manera agresiva, y que los adolescentes criados bajo el estilo parental Autorizativo poseen comportamientos menos agresivos.
Brain State Inference While under Anesthesia using CNN-Based Deep Learning Models
Authors: P Lavanya , M Madhumalini
Published: October 2024

Anaesthesia is a critical procedure for surgeons because it allows them to operate on unconscious and pain-free patients. This paper proposes using CNN-based deep learning models to infer brain state while under anesthesia. Both neuroscience research and clinical situations can help determine how deeply unconscious a patient is during anesthesia. The electroencephalogram (EEG) is a real-time, objective method for detecting anesthetic-induced changes in brain states of arousal and/or cognition. To pre-process the signal, the adaptive median filter is used. The median filter is a signal-filtering method used to remove noise from signals. The feature extraction process is carried out using wavelet decomposition, which allows for perfect signal reconstruction. To classify anesthetized brain states, this paper employs a CNN-based technique.
Grid Tied Electric Vehicle Charging Station by Bidirectional PV Based High Gain Integrated DC-DC Converter
Authors: Jaiswal Ashutosh , Chandrawanshi Pankaj , Gupta Nikhil , Khatarkar Gaurav , M Murali
Published: October 2024

In the escalating concerns over carbon emissions from traditional fossil fuel vehicles, which contribute significantly to environmental degradation through phenomena like global warming and climate change, electric vehicles (EVs) have emerged as a compelling solution due to their emission free nature. This paper proposes the establishment of a grid connected electric vehicle charging station, powered by a cutting edge bidirectional PV based high-gain integrated DC-DC Cuk Landsman converter which shows 93.4 % efficiency, aimed at ensuring swift and efficient EV charging processes. To enhance dynamic performance, a Cascaded Fuzzy Controller (CFC) technique is implemented which shows 89.4 % accuracy. This technique enables rapid responses for error compensation, thereby improving the converter’s dynamic performance indices. The converter plays a pivotal role by adeptly converting the low and unregulated DC voltage generated by the PV system into a stable output at the requisite voltage level, all while attaining unity power factor and minimizing total harmonic distortion (THD). Grid synchronization is meticulously ensured through the implementation of an adaptive proportional integral (PI) controller for a single phase voltage source inverter (VSI), which meticulously compares reference power with actual power. This process ensures seamless integration with the grid, meeting stringent standards. Furthermore, an LC filter is deployed to effectively mitigate current harmonics around the switching frequency, ensuring compliance with grid regulations.
Connecting the Dots: Data Use in Afterschool Systems Executive Summary
Authors: Spielberger Julie , Axelrod Jennifer , Dasgupta Denali , Cerven Christine , Spain Angeline , Kohm Amelia , Mader Nicholas
Published: October 2024

An executive summary of the report.
Engaging Older Youth: Program and City-Level Strategies to Support Sustained Participation in Out-of-School Time: Research Synopsis
Authors: Deschenes Sarah N. , Arbreton Amy , Little Priscilla M. , Herrera Carla , Grossman Jean Baldwin , Weiss Heather B. , Lee Diana
Published: October 2024

Engaging Older Youth: Research Synopsis
After-School Programs for High School Students: An Evaluation of After School Matters
Authors: Hirsch Barton J. , Hedges Larry V. , Stawicki Julie Ann , Mekinda Megan A.
Published: October 2024

A rigorous evaluation of a nationally known high school apprenticeship program finds both successes and weaknesses in the effort.
Whose Consent?
Authors: Odermatt Jed
Published: October 2024

On 4 October 2024 the Grand Chamber of the Court of Justice upheld the General Court’s decision to annul two economic agreements concluded between the European Union and the Kingdom of Morocco. This judgment is a landmark for the CJEU in its application of international law. The Grand Chamber is navigating a difficult path; it seeks to ensure EU agreements comply with international law and respect the rights of the people of Western Sahara while seeking to maintain economic relations between the EU and Morocco.
Multi-Objective Hybrid Algorithm Integrating Gradient Search and Evolutionary Mechanisms
Authors: Caicheng Zhu , Zhili Tang , Xin Zhao , Fang Cao
Published: October 2024

The current multi-objective evolutionary algorithm (MOEA) has attracted much attention because of its good global exploration ability, but its local search ability near the optimal value is relatively weak, and for optimization prob lems with large-scale decision variables, the number of populations and iterations required by MOEA are very large, so the optimization efficiency is low. Gradient-based optimization algorithms can overcome these problems well, but they are difficult to be applied to multi-objective problems (MOPs). Therefore, this paper introduced random weight function on the basis of weighted average gradient, developed multi-objective gradient operator, and combined it with non-dominated genetic algorithm based on reference points (NSGA- III) proposed by Deb in 2013 to develop multi-objective optimization algorithm (MOGBA) and multi-objective Hybrid Evolutionary algorithm (HMOEA). The latter greatly enhances the local search capability while retaining the good global exploration capability of NSGA-III. Numerical experiments show that HMOEA has excellent capture capability for various Pareto formations, and the efficiency is improved by times compared with typical multi-objective algorithms. And further HMOEA is applied to the multi-objective aerodynamic optimization problem of the RAE2822 airfoil, and the ideal Pareto front is obtained, indicating that HMOEA is an efficient optimization algorithm with potential applications in aerodynamic optimization design.
Data-Driven Fault Detection and Diagnosis for UAV Swarm Systems
Authors: Runze Li , Bin Jiang , Ziquan Yu , Ningyun Liu
Published: October 2024

With the widely application and promotion of Unmanned aerial vehicle (UAV) technology, UAV swarms are widely used in military and civilian fields by taking advantage of group collaboration. It has huge economic and national defense value. The safety and reliability requirements of the UAV swarm system are extremely strict, and real-time fault detection and diagnosis is one of its important supporting technologies. In this paper, a fault diagnosis method based on statistical model and improved broad learning system (BLS) is proposed. The behavior characteristics of the UAV swarm system under normal and different failure modes are characterized by multivariate data statistical analysis, and the improved BLS model is adopted to achieve accurate and fast fault diagnosis. And a high-fidelity simulation verification platform is developed to verify the rationality and effectiveness of the proposed method.
Rolling bearing fault diagnosis method based on wavelet packet logarithmic energy map
Authors: Na Wang , Yuelei Cui , Yang Li , Zicong Wang
Published: October 2024

Aiming at the fault diagnosis problem of rolling bearings, a diagnosis method based on wavelet packet logarithmic energy map is proposed. Firstly, a new wavelet packet node logarithmic energy formula is improved and proposed to overcome the shortcomings of cumbersome parameter determination and strong subjectivity in the traditional wavelet packet energy formula, improve the recognition of high-frequency faults and the distinction of low-frequency fault categories, so as to fully extract the initial time-frequency domain features; secondly, the Gram angle and field idea is used to realize the conversion from one-dimensional features to two-dimensional image features, so as to construct the logarithmic energy map feature based on wavelet packet, which further considers the spatial information between adjacent features, thereby optimizing the initial time-frequency domain features and improving the significance of the obtained features. On this basis, the residual network is used to improve the accuracy of fault diagnosis classification results. Finally, through the simulation verification of the standard rolling bearing data set of Case Western Reserve University, it can be seen that the fault diagnosis model constructed by the proposed method has high diagnostic accuracy and strong generalization ability.
Distributed cooperative guidance strategy based on virtual negotiation and rolling optimization
Authors: Xiuxia Yang , Zijie Jiang , Yi Zhang , Cong Wang , Hao Yu
Published: October 2024

The problem of multi-UAV cooperative guidance under target maneuvering conditions is studied, and a distributed cooperative guidance strategy based on virtual negotiation mechanism and rolling horizon optimization is proposed. Firstly, in order to improve the time coordination and guidance control effect at the same time, local coordination variables and objective functions are designed under the rolling horizon optimization framework, and a multi-constrained cooperative guidance optimization model in a limited time domain is constructed; secondly, in order to enhance the robustness of the guidance system to maneuvering targets, a disturbance observer based on nonlinear autoregressive neural network is designed; thirdly, for the control input coupling between UAVs, a virtual negotiation mechanism is proposed to achieve synchronous decision-making and eliminate internal "differences", and the root mean square propagation algorithm of Nesterov momentum is used to design the guidance command generation strategy; finally, digital simulation and semi-physical simulation experiments are carried out respectively. The results show that the proposed guidance strategy can cope with various interferences and improve the cooperative guidance effect through online prediction and optimization, and is expected to be further applied and tested in actual tasks.
Power text information extraction based on multi-task learning
Authors: Qi Ji , Tongxin Wu , Ting Yu , Linxiao Dong , Qiting Chen , Jiakui Zhao
Published: October 2024

In order to improve the analysis and processing speed of power system fault text in actual business scenarios, a power fault text information automatic extraction model based on pre-training and multi-task learning is proposed. The pre-training model is used to learn the context information of power text words, and the first-order and second-order fusion features of words are mined to enhance the representation ability of features. The multi-task learning framework is used to combine the learning of named entity recognition and relationship extraction tasks to achieve mutual complementation and mutual promotion between entity recognition and relationship extraction, thereby improving the performance of power fault text information extraction. Finally, the model is verified by the daily business data of a power grid data center. Compared with other models, the accuracy and recall rate of power fault text entity recognition and relationship extraction are improved.
Design and experiment of bionic skateboard for rice direct seeding machine based on loach body surface
Authors: Guozhong Zhang , Kaiquan Ding , Zhengbo Li , Long Chen , Nanrui Tang , Wanru Liu , Haidong Huang , Yong Zhou , Hongchang Wang
Published: October 2024

Aiming at the problem of heavy adhesion and large resistance of the rice direct seeding machine slide in the disturbed saturated paddy field environment, the non-smooth surface of the loach body was observed by microscopic observation; the simulation analysis was carried out using Fluent software, revealing the principle of reducing adhesion and drag of the non-smooth surface; the Box-Behnken response surface method was used to design the experiment, and the regression equation of the total resistance of the groove non-smooth surface FBand the groove width w, groove depth hand incoming flow velocity was obtained. vThe optimization analysis results show that when wis 4 mm、v1.25 m/s, 4.5 mm、hthe maximum drag reduction rate reaches 10.052%; based on the optimal parameters, the rice direct seeding machine bionic slide was trial-produced, and the indoor paddy field soil trough test was carried out, and the final drag reduction rate reached 10.23%. This study can provide new ideas for the development of adhesion and drag reduction technology for paddy field soil contact parts.
STABILITY ROBUSTNESS OF CONTROL SYSTEMS OF MULTIROTOR UNMANNED AERIAL VEHICLES
Authors: Ispiryan Vahe
Published: October 2024

Multirotor unmanned aerial vehicles (UAVs) are broadly used in various military and civilian areas and tasks. In real flights of the multirotor UAVs, certain unexpected situations may occur, which can lead to improper functionality and even failures of elements or devices of the UAV’s control system. In some cases, this can even lead to the complete collapse of the UAV. Therefore, the safety of UAV flights is nowadays of prime importance.

A method of analysis of the stability robustness of the UAV’s control systems with respect to the parameters multiplicative uncertainties (or perturbations), including possible efficiency degradation of DC motors, is proposed in the paper. Stability robustness is determined by a simple graphical procedure on the complex plane of the Nyquist or Nichols hodographs of the control system’s separate channels. That procedure is quite similar to the well-known classical feedback control procedure of determining the peak gain of the single-input, single-output closed-loop control system by the Nyquist hodograph of the open-loop system. A numerical example illustrating the proposed method is given.